Awesome Time Series Forecasting/Prediction Papers

This repository contains a reading list of papers (400+ papers !!!) on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model. This repository is still being continuously improved. In addition to papers that have been accepted by top conferences or journals, the repository also includes the latest papers from arXiv. If you have found any relevant papers that need to be included in this repository, please feel free to submit a pull request (PR) or open an issue. If you find this repository useful, please give it a 🌟.

Each paper may apply to one or several types of forecasting, including univariate time series forecasting, multivariate time series forecasting, and spatio-temporal forecasting, which are also marked in the Type column. If covariates and exogenous variables are not considered, univariate time series forecasting involves predicting the future of one variable with the history of this variable, while multivariate time series forecasting involves predicting the future of C variables with the history of C variables. Note that repeating univariate forecasting multiple times can also achieve the goal of multivariate forecasting, which is called channel-independent. However, univariate forecasting methods cannot extract relationships between variables, so the basis for distinguishing between univariate and multivariate forecasting methods is whether the method involves interaction between variables. Besides, in the era of deep learning, many univariate models can be easily modified to directly process multiple variables for multivariate forecasting. And multivariate models generally can be directly used for univariate forecasting. Here we classify solely based on the model's description in the original paper. Spatio-temporal forecasting is often used in traffic and weather forecasting, and it adds a spatial dimension compared to univariate and multivariate forecasting. In spatio-temporal forecasting, if each measurement point has only one variable, it is equivalent to multivariate forecasting. Therefore, the distinction between spatio-temporal forecasting and multivariate forecasting is not clear. Spatio-temporal models can usually be directly applied to multivariate forecasting, and multivariate models can also be used for spatio-temporal forecasting with minor modifications. Here we also classify solely based on the model's description in the original paper.

• univariate time series forecasting: , where is the history length, is the prediction horizon length.
• multivariate time series forecasting: , where is the number of variables (channels).
• spatio-temporal forecasting: , where is the spatial dimension (number of measurement points). However, some spatio-temporal models set the output channel to 1, and even the input channel to 1, which is actually equivalent to multivariate time series forecasting.
• irregular time series: observation/sampling times are irregular.

News.

🚩 2023/11/1: I have marked some recommended papers with 🌟 (Just my personal preference 😉).

🚩 2023/11/1: I have added a new category : models specifically designed for irregular time series.

🚩 2023/11/1: I also recommend you to check out some other GitHub repositories about awesome time series papers: time-series-transformers-review, awesome-AI-for-time-series-papers, time-series-papers, deep-learning-time-series.

🚩 2023/11/3: There are some popular toolkits or code libraries that integrate many time series models: PyPOTS, Time-Series-Library, Prophet, Darts, Kats, tsai, GluonTS, PyTorchForecasting, tslearn, AutoGluon, flow-forecast, PyFlux.

🚩 2023/12/28: Since the topic of LLM(Large Language Model)+TS(Time Series) has been popular recently, I have introduced a category (LLM) to include related papers. This is distinguished from the Pretrain category. Pretrain mainly contains papers which design agent tasks (contrastive or generative) suitable for time series, and only use large-scale time series data for pre-training.

🚩 2024/4/1: Some researchers have introduced the recently popular Mamba model into the field of time series forecasting, which can be found in the SSM (State Space Model) table.

🚩 2024/6/7: I will mark some hot papers with 🔥 (Papers with over 100 citations).

🚩 2024/9/10: I am preparing to open a new GitHub repository to collect papers related to Video Spatio-Temporal Forecasting (VSTF). The mapping function for VSTF is , where and are the height and width of each frame. Compared to spatio-temporal forecasting mentioned before, it replaces with . This setup is commonly used in video prediction and weather forecasting. Stay tuned!

🚩 2024/10/23: I have introduced a new table (Multimodal) to include papers that utilize multimodal data (such as relevant text) to assist in forecasting and a new table (KAN) to include papers that utilize Kolmogorov–Arnold Networks.

🚩 2024/12/30: Christoph Bergmeir raised insightful questions about the benchmarks in the field of time series forecasting during his talk at NIPS 2024. This critique is highly valuable and well worth watching. I strongly recommend watching this talk before embarking on time series research.

🚩 2025/06/02: I have divided the papers in the Pretrain & Representation Table into two groups: Representation Learning and Foundation Models. The former focuses on designing pretrain tasks (such as contrastive learning and masked modeling), while the latter typically provides time series foundation models pre-trained on large-scale time series datasets.

Survey & Benchmark.

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
15-11-23	Multi-step	ACOMP 2015	Comparison of Strategies for Multi-step-Ahead Prediction of Time Series Using Neural Network	None
19-06-11	STData🔥	TKDE 2020	Deep learning for spatio-temporal data mining: A survey	None
19-06-20	DL🔥	SENSJ 2019	A Review of Deep Learning Models for Time Series Prediction	None
20-09-27	DL🔥	Arxiv 2020	Time Series Forecasting With Deep Learning: A Survey	None
22-02-15	Transformer🔥	IJCAI 2023	Transformers in Time Series: A Survey	PaperList
23-03-25	STGNN🔥	TKDE 2023	Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey	None
23-05-01	Diffusion	Arxiv 2023	Diffusion Models for Time Series Applications: A Survey	None
23-06-14	LargeST	NIPS 2023	LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting	largest
23-06-16	SSL🔥	TPAMI 2024	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects	None
23-06-20	OpenSTL	NIPS 2023	OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning	Benchmark
23-07-07	GNN🔥	TPAMI 2024	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection	PaperList
23-10-09	BasicTS	TKDE 2024	Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis	BasicTS
23-10-11	ProbTS	Arxiv 2023	ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons	ProbTS
23-10-16	LargeModel	Arxiv 2023	Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook	PaperList
23-12-28	TSPP	Arxiv 2023	TSPP: A Unified Benchmarking Tool for Time-series Forecasting	TSPP
24-01-05	Diffusion	Arxiv 2024	The Rise of Diffusion Models in Time-Series Forecasting	None
24-02-15	LLM🔥	Arxiv 2024	Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review	None
24-03-21	FM	KDD 2024	Foundation Models for Time Series Analysis: A Tutorial and Survey	None
24-03-29	TFB🌟🔥	VLDB 2024	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods	TFB
24-04-24	Mamba-360	Arxiv 2024	Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges	Mamba-360
24-04-29	Diffusion	Arxiv 2024	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data	PaperList
24-05-03	FoundationModels	Arxiv 2024	A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model	PaperList
24-07-18	TSLib🌟	Arxiv 2024	Deep Time Series Models: A Comprehensive Survey and Benchmark	TSLib
24-07-29	Transformer	Arxiv 2024	Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting	None
24-10-14	GIFT-Eval	Arxiv 2024	GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation	None
24-10-15	FoundTS	Arxiv 2024	FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting	FoundTS
24-10-24	Architecture	AIR 2025	A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges	None
24-10-29	STGNN	Arxiv 2024	A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification	None
24-12-19	Benchmark🌟	AAAI 2025	Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine	bench
25-02-11	Physiome-ODE	ICLR 2025	Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs	Physiome-ODE
25-02-15	Channel-Strategy	Arxiv 2025	A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective	CS4TS
25-02-17	Positional-Encoding	Arxiv 2025	Positional Encoding in Transformer-Based Time Series Models: A Survey	pe-benchmark
25-02-19	LTSF	Arxiv 2025	Position: There are no Champions in Long-Term Time Series Forecasting	None
25-02-26	FinTSB	Arxiv 2025	FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting	FinTSB
25-03-13	DL	Arxiv 2025	Deep Learning for Time Series Forecasting: A Survey	None
25-04-05	FoundationModels	Arxiv 2025	Foundation Models for Time Series: A Survey	None
25-04-10	Survey	Arxiv 2025	A Comprehensive Survey of Time Series Forecasting: Concepts, Challenges, and Future Directions	PaperList

Transformer.

Date	Method	Type	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
19-06-29	LogTrans🔥		NIPS 2019	Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting	flowforecast
19-12-19	TFT🌟🔥		IJoF 2021	Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting	tft
20-01-23	InfluTrans🔥		Arxiv 2020	Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case	influenza transformer
20-06-05	AST 🔥		NIPS 2020	Adversarial Sparse Transformer for Time Series Forecasting	AST
20-12-14	Informer🌟🔥		AAAI 2021	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting	Informer
21-05-22	ProTran		NIPS 2021	Probabilistic Transformer for Time Series Analysis	None
21-06-24	Autoformer🌟🔥		NIPS 2021	Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting	Autoformer
21-09-17	Aliformer		Arxiv 2021	From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba	None
21-10-05	Pyraformer🔥		ICLR 2022	Pyraformer: Low-complexity Pyramidal Attention for Long-range Time Series Modeling and Forecasting	Pyraformer
22-01-14	Preformer🔥		ICASSP 2023	Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting	Preformer
22-01-30	FEDformer🌟🔥		ICML 2022	FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting	FEDformer
22-02-03	ETSformer 🔥		Arxiv 2022	ETSformer: Exponential Smoothing Transformers for Time-series Forecasting	etsformer
22-02-07	TACTiS		ICML 2022	TACTiS: Transformer-Attentional Copulas for Time Series	TACTiS
22-04-28	Triformer		IJCAI 2022	Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting	Triformer
22-05-27	TDformer		NIPSW 2022	First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting	TDformer
22-05-28	Non-stationary Transformer 🔥		NIPS 2022	Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting	Non-stationary Transformers
22-06-08	Scaleformer		ICLR 2023	Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting	Scaleformer
22-08-14	Quatformer		KDD 2022	Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting	Quatformer
22-08-30	Persistence Initialization		Arxiv 2022	Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting	None
22-09-08	W-Transformers		ICMLA 2022	W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series Forecasting	w-transformer
22-09-22	Crossformer 🔥		ICLR 2023	Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting	Crossformer
22-09-22	PatchTST🌟🔥		ICLR 2023	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers	PatchTST
22-11-29	AirFormer		AAAI 2023	AirFormer: Predicting Nationwide Air Quality in China with Transformers	AirFormer
22-12-06	TVT		Arxiv 2022	A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting	None
23-01-05	Conformer		ICDE 2023	Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution	Conformer
23-01-19	PDFormer🔥		AAAI 2023	PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction	PDFormer
23-03-01	ViTST		NIPS 2023	Time Series as Images: Vision Transformer for Irregularly Sampled Time Series	ViTST
23-05-20	CARD		ICLR 2024	CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting	CARD
23-05-24	JTFT		NN 2024	A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting	None
23-05-30	HSTTN		IJCAI 2023	Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer	None
23-05-30	Client		Arxiv 2023	Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting	Client
23-05-30	Taylorformer		Arxiv 2023	Taylorformer: Probabilistic Predictions for Time Series and other Processes	Taylorformer
23-06-05	Corrformer🌟		NMI 2023	Interpretable weather forecasting for worldwide stations with a unified deep model	Corrformer
23-06-14	GCformer		CIKM 2023	GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting	GCformer
23-07-04	SageFormer		IoT 2024	SageFormer: Series-Aware Graph-Enhanced Transformers for Multivariate Time Series Forecasting	SageFormer
23-07-10	DifFormer		TPAMI 2023	DifFormer: Multi-Resolutional Differencing Transformer With Dynamic Ranging for Time Series Analysis	None
23-07-27	HUTFormer		Arxiv 2023	HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting	None
23-08-07	DSformer		CIKM 2023	DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction	None
23-08-09	SBT		KDD 2023	Sparse Binary Transformers for Multivariate Time Series Modeling	None
23-08-09	PETformer		Arxiv 2023	PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer	None
23-10-02	TACTiS-2		ICLR 2024	TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series	None
23-10-03	PrACTiS		Arxiv 2023	PrACTiS: Perceiver-Attentional Copulas for Time Series	None
23-10-10	iTransformer🔥		ICLR 2024	iTransformer: Inverted Transformers Are Effective for Time Series Forecasting	iTransformer
23-10-26	ContiFormer		NIPS 2023	ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling	ContiFormer
23-10-31	BasisFormer		NIPS 2023	BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis	basisformer
23-11-07	MTST		AISTATS 2023	Multi-resolution Time-Series Transformer for Long-term Forecasting	MTST
23-11-30	MultiResFormer		Arxiv 2023	MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting	None
23-12-10	FPPformer		IOT 2023	Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer	FPPformer
23-12-11	Dozerformer		Arxiv 2023	Dozerformer: Sequence Adaptive Sparse Transformer for Multivariate Time Series Forecasting	None
23-12-11	CSformer		Arxiv 2023	Dance of Channel and Sequence: An Efficient Attention-Based Approach for Multivariate Time Series Forecasting	None
23-12-23	MASTER		AAAI 2024	MASTER: Market-Guided Stock Transformer for Stock Price Forecasting	MASTER
23-12-30	PCA+former		Arxiv 2023	Transformer Multivariate Forecasting: Less is More?	None
24-01-16	PDF		ICLR 2024	Periodicity Decoupling Framework for Long-term Series Forecasting	PDF
24-01-16	Pathformer		ICLR 2024	Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting	pathformer
24-01-16	VQ-TR		ICLR 2024	VQ-TR: Vector Quantized Attention for Time Series Forecasting	None
24-01-22	HDformer		Arxiv 2024	The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting	None
24-02-04	Minusformer		Arxiv 2024	Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals	Minusformer
24-02-08	AttnEmbed		Arxiv 2024	Attention as Robust Representation for Time Series Forecasting	AttnEmbed
24-02-15	SAMformer		ICML 2024	Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention	SAMformer
24-02-25	PDETime		Arxiv 2024	PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations	None
24-02-29	TimeXer		NIPS 2024	TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables	TimeXer
24-03-05	InjectTST		Arxiv 2024	InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting	None
24-03-13	Caformer		Arxiv 2024	Caformer: Rethinking Time Series Analysis from Causal Perspective	None
24-03-14	MCformer		Arxiv 2024	MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer	None
24-04-08	ATFNet		Arxiv 2024	ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting	ATFNet
24-04-12	TSLANet		ICML 2024	TSLANet: Rethinking Transformers for Time Series Representation Learning	TSLANet
24-04-16	T2B-PE		Arxiv 2024	Intriguing Properties of Positional Encoding in Time Series Forecasting	T2B-PE
24-05-14	DGCformer		Arxiv 2024	DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting	None
24-05-19	VCformer		Arxiv 2024	VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting	VCformer
24-05-22	GridTST		Arxiv 2024	Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers	GridTST
24-05-23	ICTSP		ICLR 2025	In-context Time Series Predictor	None
24-05-27	CATS		NIPS 2024	Are Self-Attentions Effective for Time Series Forecasting?	CATS
24-06-06	TwinS		Arxiv 2024	TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting	None
24-06-07	UniTST		Arxiv 2024	UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting	None
24-06-11	DeformTime		Arxiv 2024	DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting	DeformTime
24-06-13	Fredformer		KDD 2024	Fredformer: Frequency Debiased Transformer for Time Series Forecasting	Fredformer
24-07-18	FSatten-SOatten		Arxiv 2024	Revisiting Attention for Multivariate Time Series Forecasting	FSatten-SOatten
24-07-18	MTE		Arxiv 2024	Long Input Sequence Network for Long Time Series Forecasting	MTE
24-07-31	FreqTSF		Arxiv 2024	FreqTSF: Time Series Forecasting Via Simulating Frequency Kramer-Kronig Relations	None
24-08-05	DRFormer		CIKM 2024	DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting	DRFormer
24-08-08	STHD		CIKM 2024	Scalable Transformer for High Dimensional Multivariate Time Series Forecasting	STHD
24-08-16	S3Attention		Arxiv 2024	S3Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching	S3Attention
24-08-19	PMformer		Arxiv 2024	Partial-Multivariate Model for Forecasting	None
24-08-19	sTransformer		Arxiv 2024	sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting	None
24-08-20	PRformer		Arxiv 2024	PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting	PRformer
24-09-25	DeformableTST		NIPS 2024	DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching	DeformableTST
24-09-30	CTLPE		Arxiv 2024	Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting	None
24-10-02	TiVaT		Arxiv 2024	TiVaT: Joint-Axis Attention for Time Series Forecasting with Lead-Lag Dynamics	None
24-10-04	ARMA		Arxiv 2024	Autoregressive Moving-average Attention Mechanism for Time Series Forecasting	ARMA-Attention
24-10-06	TimeBridge		ICML 2025	TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting	TimeBridge
24-10-30	WaveRoRA		Arxiv 2024	WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecasting	None
24-10-31	Ada-MSHyper		NIPS 2024	Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting	Ada-MSHyper
24-11-03	PSformer		Arxiv 2024	PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting	None
24-11-04	ElasTST		NIPS 2024	ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer	elastst
24-11-07	Peri-midFormer		NIPS 2024	Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis	Peri-midFormer
24-12-02	MuSiCNet		IJCAIW 2024	MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis	None
24-12-04	HOT		Arxiv 2024	Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data	None
24-12-16	EDformer		Arxiv 2024	EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions	EDformer
24-12-17	TimeCHEAT		AAAI 2025	TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis	None
24-12-25	Ister		Arxiv 2024	Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting	None
25-01-06	Sensorformer		Arxiv 2025	Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecasting	Sensorformer
25-01-14	LiPFormer		ICDE 2025	Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching	None
25-01-22	T-Graphormer		Arxiv 2025	T-Graphormer: Using Transformers for Spatiotemporal Forecasting	None
25-01-23	FreEformer		Arxiv 2025	FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting	None
25-01-23	SimMTSF		ICLR 2025	A Simple Baseline for Multivariate Time Series Forecasting	None
25-01-24	VarDrop		AAAI 2025	VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting	VarDrop
25-01-28	Spikformer		Arxiv 2025	Toward Relative Positional Encoding in Spiking Transformers	None
25-02-10	Powerformer		Arxiv 2025	Powerformer: A Transformer with Weighted Causal Attention for Time-series Forecasting	None
25-02-11	SAMoVAR		Arxiv 2025	Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting	SAMoVAR
25-02-12	HDT		AAAI 2025	HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting	HDT
25-02-13	FaCT		Arxiv 2025	Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?	None
25-02-17	S2TX		Arxiv 2025	S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting	None
25-02-19	AutoFormer-TS		Arxiv 2025	Learning Novel Transformer Architecture for Time-series Forecasting	None
25-02-27	PFformer		PAKDD 2025	PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting	None
25-03-03	ContexTST		Arxiv 2025	Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting	None
25-03-07	PPDformer		ICASSP 2025	PPDformer: Channel-Specific Periodic Patch Division for Time Series Forecasting	PPDformer
25-03-10	Attn-L-Reg		Arxiv 2025	Enhancing Time Series Forecasting via Logic-Inspired Regularization	None
25-03-11	MFRS		Arxiv 2025	MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series Forecasting	MFRS
25-03-13	EiFormer		Arxiv 2025	Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers	None
25-03-22	Sentinel		Arxiv 2025	Sentinel: Multi-Patch Transformer with Temporal and Channel Attention for Time Series Forecasting	None
25-03-31	CITRAS		Arxiv 2025	CITRAS: Covariate-Informed Transformer for Time Series Forecasting	None
25-04-02	Times2D		AAAI 2025	Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting	Times2D
25-04-17	TimeCapsule		KDD 2025	TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations	None
25-04-26	TSRM		Arxiv 2025	TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation	TSRM
25-05-01	Gateformer		Arxiv 2025	Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations	Gateformer
25-05-04	CASA		IJCAI 2025	CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting	casa
25-05-05	SCFormer		Arxiv 2025	SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting	SCFormer
25-05-19	TQNet		ICML 2025	Temporal Query Network for Efficient Multivariate Time Series Forecasting	TQNet
25-05-20	LMHR		Arxiv 2025	Leveraging Multivariate Long-Term History Representation for Time Series Forecasting	None
25-05-21	Sonnet		Arxiv 2025	Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting	Sonnet
25-05-22	CAIFormer		Arxiv 2025	CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting	None
25-06-10	ChannelTokenFormer		Arxiv 2025	Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness	None

RNN.

Date	Method	Type	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
17-03-21	LSTNet🌟🔥		SIGIR 2018	Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks	LSTNet
17-04-07	DA-RNN🔥		IJCAI 2017	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction	DARNN
17-04-13	DeepAR🌟🔥		IJoF 2019	DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks	DeepAR
17-11-29	MQRNN🔥		NIPSW 2017	A Multi-Horizon Quantile Recurrent Forecaster	MQRNN
18-06-23	mWDN🔥		KDD 2018	Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis	mWDN
18-09-06	MTNet		AAAI 2019	A Memory-Network Based Solution for Multivariate Time-Series Forecasting	MTNet
19-05-28	DF-Model🔥		ICML 2019	Deep Factors for Forecasting	None
19-07-18	ESLSTM🔥		IJoF 2020	A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting	None
19-07-25	MH-TAL🔥		KDD 2019	Multi-Horizon Time Series Forecasting with Temporal Attention Learning	None
21-11-22	CRU		ICML 2022	Modeling Irregular Time Series with Continuous Recurrent Units	CRU
22-05-16	C2FAR		NIPS 2022	C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting	C2FAR
23-06-02	RNN-ODE-Adap		Arxiv 2023	Neural Differential Recurrent Neural Network with Adaptive Time Steps	RNN_ODE_Adap
23-08-22	SegRNN		Arxiv 2023	SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting	SegRNN
23-10-05	PA-RNN		NIPS 2023	Sparse Deep Learning for Time Series Data: Theory and Applications	None
23-11-03	WITRAN		NIPS 2023	WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting	WITRAN
23-12-14	DAN		AAAI 2024	Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting	DAN
23-12-22	SutraNets		NIPS 2023	SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting	None
24-01-17	RWKV-TS		Arxiv 2024	RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks	RWKV-TS
24-06-04	TGLRN		Arxiv 2024	Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting	None
24-06-29	CONTIME		KDD 2024	Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization	CONTIME
24-07-14	xLSTMTime		Arxiv 2024	xLSTMTime: Long-term Time Series Forecasting With xLSTM	xLSTMTime
24-07-29	TFFM		CIKM 2024	Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting	None
24-08-19	P-sLSTM		Arxiv 2024	Unlocking the Power of LSTM for Long Term Time Series Forecasting	None
24-10-22	xLSTM-Mixer		Arxiv 2024	xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories	xlstm-mixer

MLP.

Date	Method	Type	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
19-05-24	NBeats🌟		ICLR 2020	N-BEATS: Neural Basis Expansion Analysis For Interpretable Time Series Forecasting	NBeats
21-04-12	NBeatsX		IJoF 2022	Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx	NBeatsX
22-01-30	N-HiTS🌟		AAAI 2023	N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting	N-HiTS
22-05-15	DEPTS		ICLR 2022	DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting	DEPTS
22-05-24	FreDo		Arxiv 2022	FreDo: Frequency Domain-based Long-Term Time Series Forecasting	None
22-05-26	DLinear🌟		AAAI 2023	Are Transformers Effective for Time Series Forecasting?	DLinear
22-06-24	TreeDRNet		Arxiv 2022	TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting	None
22-07-04	LightTS		Arxiv 2022	Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures	LightTS
22-08-10	STID		CIKM 2022	Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting	STID
23-01-30	SimST		Arxiv 2023	Do We Really Need Graph Neural Networks for Traffic Forecasting?	None
23-02-09	MTS-Mixers		Arxiv 2023	MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing	MTS-Mixers
23-03-10	TSMixer		Arxiv 2023	TSMixer: An all-MLP Architecture for Time Series Forecasting	None
23-04-17	TiDE🌟		Arxiv 2023	Long-term Forecasting with TiDE: Time-series Dense Encoder	TiDE
23-05-18	RTSF		Arxiv 2023	Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping	RTSF
23-05-30	Koopa🌟		NIPS 2023	Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors	Koopa
23-06-14	CI-TSMixer		KDD 2023	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting	None
23-07-06	FITS🌟		ICLR 2024	FITS: Modeling Time Series with 10k Parameters	FITS
23-08-14	ST-MLP		Arxiv 2023	ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting	None
23-08-25	TFDNet		Arxiv 2023	TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting	None
23-11-10	FreTS		NIPS 2023	Frequency-domain MLPs are More Effective Learners in Time Series Forecasting	FreTS
23-12-11	MoLE		AISTATS 2024	Mixture-of-Linear-Experts for Long-term Time Series Forecasting	MoLE
23-12-22	STL		Arxiv 2023	Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting	None
24-01-04	U-Mixer		AAAI 2024	U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting	None
24-01-16	TimeMixer		ICLR 2024	TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting	TimeMixer
24-02-16	RPMixer		Arxiv 2024	Random Projection Layers for Multidimensional Time Sires Forecasting	None
24-02-20	IDEA		Arxiv 2024	When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting	None
24-03-04	CATS		ICML 2024	CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables	None
24-03-21	OLS		ICML 2024	An Analysis of Linear Time Series Forecasting Models	None
24-03-24	HDMixer		AAAI 2024	HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting	HDMixer
24-04-22	SOFTS		NIPS 2024	SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion	SOFTS
24-05-02	SparseTSF		ICML 2024	SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters	SparseTSF
24-05-10	TEFN		Arxiv 2024	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting	TEFN
24-05-22	PDMLP		Arxiv 2024	PDMLP: Patch-based Decomposed MLP for Long-Term Time Series Forecasting	None
24-06-06	AMD		Arxiv 2024	Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting	AMD
24-06-07	TimeSieve		Arxiv 2024	TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks	TimeSieve
24-06-29	DERITS		IJCAI 2024	Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting	None
24-07-15	ODFL		Arxiv 2024	Omni-Dimensional Frequency Learner for General Time Series Analysis	None
24-07-17	FreDF		MM 2024	Not All Frequencies Are Created Equal: Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting	None
24-09-26	PGN		NIPS 2024	PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting	TPGN
24-09-27	CycleNet		NIPS 2024	CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns	CycleNet
24-10-02	MMFNet		Arxiv 2024	MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting	None
24-10-02	MixLinear		Arxiv 2024	MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters	None
24-10-07	NFM		Arxiv 2024	Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis	NFM
24-10-13	TFPS		Arxiv 2024	Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift	TFPS
24-10-21	LTBoost		CIKM 2024	LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting	LTBoost
24-10-22	LiNo		Arxiv 2024	LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting	LiNo
24-11-03	FilterNet		NIPS 2024	FilterNet: Harnessing Frequency Filters for Time Series Forecasting	FilterNet
24-11-26	DiPE-Linear		Arxiv 2024	Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting	DiPE-Linear
24-12-02	FSMLP		Arxiv 2024	FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain	FSMLP
24-12-09	LMS-AutoTSF		Arxiv 2024	LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting	LMS-TSF
24-12-14	DUET🔥		KDD 2025	DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting	DUET
24-12-18	PreMixer		Arxiv 2024	PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting	None
24-12-22	WPMixer		AAAI 2025	WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting	None
24-12-30	AverageLinear		Arxiv 2024	AverageLinear: Enhance Long-Term Time series forcasting with simple averaging	None
25-01-25	FreqMoE		AISTATS 2025	FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts	FreqMoE
25-01-27	SWIFT		Arxiv 2025	SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting	swift
25-01-28	Amplifier		AAAI 2025	Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting	amplifier
25-01-31	BEAT		Arxiv 2025	BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting	None
25-02-05	MTLinear		AISTATS 2025	A Multi-Task Learning Approach to Linear Multivariate Forecasting	MTLinear
25-02-08	TSAA		TMLR	Data Augmentation Policy Search for Long-Term Forecasting	TSAA
25-02-14	HADL		Arxiv 2025	HADL Framework for Noise Resilient Long-Term Time Series Forecasting	HADL
25-02-17	IMTS-Mixer		Arxiv 2025	IMTS-Mixer: Mixer-Networks for Irregular Multivariate Time Series Forecasting	IMTS-Mixer
25-02-20	TimeDistill		Arxiv 2025	TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation	None
25-02-24	ReFocus		Arxiv 2025	ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting	refocus
25-02-27	FIA-Net		Arxiv 2025	Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation	FIA-Net
25-02-28	UltraSTF		Arxiv 2025	A Compact Model for Large-Scale Time Series Forecasting	None
25-03-04	CDFM		Arxiv 2025	Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis	None
25-03-30	SFNN		Arxiv 2025	Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting	None
25-04-02	DRAN		Arxiv 2025	DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting	None
25-04-11	FilterTS		AAAI 2025	FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting	FilterTS
25-05-01	AiT		Arxiv 2025	Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting	None
25-05-07	RAFT		ICML 2025	Retrieval Augmented Time Series Forecasting	RAFT
25-05-12	OLinear		Arxiv 2025	OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain	OLinear
25-05-13	MDMixer		Arxiv 2025	A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting	None
25-05-15	ALinear		Arxiv 2025	Does Scaling Law Apply in Time Series Forecasting?	None
25-05-16	APN		Arxiv 2025	Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline	None
25-05-17	WaveTS		Arxiv 2025	Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting	None
25-05-20	CRAFT		Arxiv 2025	CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness	CRAFT
25-05-25	CMoS		ICML 2025	CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations	CMoS
25-05-29	CrossLinear		KDD 2025	CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables	CrossLinear

TCN/CNN.

Date	Method	Type	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
19-05-09	DeepGLO🌟		NIPS 2019	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting	deepglo
19-05-22	DSANet		CIKM 2019	DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting	DSANet
19-12-11	MLCNN		AAAI 2020	Towards Better Forecasting by Fusing Near and Distant Future Visions	MLCNN
21-06-17	SCINet		NIPS 2022	SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction	SCINet
22-09-22	MICN		ICLR 2023	MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting	MICN
22-09-22	TimesNet🌟		ICLR 2023	TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis	TimesNet
23-02-23	LightCTS		SIGMOD 2023	LightCTS: A Lightweight Framework for Correlated Time Series Forecasting	LightCTS
23-05-25	TLNets		Arxiv 2023	TLNets: Transformation Learning Networks for long-range time-series prediction	TLNets
23-06-04	Cross-LKTCN		Arxiv 2023	Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting	None
23-06-12	MPPN		Arxiv 2023	MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting	None
23-06-19	FDNet		KBS 2023	FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting	FDNet
23-10-01	PatchMixer		Arxiv 2023	PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting	PatchMixer
23-11-01	WinNet		Arxiv 2023	WinNet:time series forecasting with a window-enhanced period extracting and interacting	None
23-11-27	ModernTCN🌟		ICLR 2024	ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis	ModernTCN
23-11-27	UniRepLKNet		Arxiv 2023	UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition	UniRepLKNet
24-03-03	ConvTimeNet		WWW 2025	ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis	ConvTimeNet
24-05-20	ATVCNet		Arxiv 2024	ATVCNet: Adaptive Extraction Network for Multivariate Long Sequence Time-Series Forecasting	None
24-05-24	FTMixer		Arxiv 2024	FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling	FTMixer
24-10-07	TimeCNN		Arxiv 2024	TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting	None
24-10-21	TimeMixer++		ICLR 2025	TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis	None
24-11-07	EffiCANet		Arxiv 2024	EffiCANet: Efficient Time Series Forecasting with Convolutional Attention	None
24-12-23	xPatch		AAAI 2025	xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition	xPatch
25-01-23	TVNet		ICLR 2025	TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation	None

GNN.

Date	Method	Type	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
17-09-14	STGCN🌟🔥		IJCAI 2018	Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting	STGCN
19-05-31	Graph WaveNet🔥		IJCAI 2019	Graph WaveNet for Deep Spatial-Temporal Graph Modeling	Graph-WaveNet
19-07-17	ASTGCN🔥		AAAI 2019	Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting	ASTGCN
20-04-03	SLCNN🔥		AAAI 2020	Spatio-Temporal Graph Structure Learning for Traffic Forecasting	None
20-04-03	GMAN🔥		AAAI 2020	GMAN: A Graph Multi-Attention Network for Traffic Prediction	GMAN
20-05-03	MTGNN🌟🔥		KDD 2020	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks	MTGNN
20-09-26	AGCRN🌟🔥		NIPS 2020	Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting	AGCRN
21-03-13	StemGNN🌟🔥		NIPS 2020	Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting	StemGNN
22-05-16	TPGNN		NIPS 2022	Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks	TPGNN
22-06-18	D2STGNN		VLDB 2022	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting	D2STGNN
23-05-12	DDGCRN		PR 2023	A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting	DDGCRN
23-05-30	HiGP		ICML 2024	Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting	None
23-07-10	NexuSQN		Arxiv 2023	Nexus sine qua non: Essentially connected neural networks for spatial-temporal forecasting of multivariate time series	None
23-11-10	FourierGNN		NIPS 2023	FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective	FourierGNN
23-12-05	SAMSGL		TETCI 2023	SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting	None
23-12-27	TGCRN		ICDE 2024	Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting	None
23-12-27	FCDNet		Arxiv 2023	FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting	FCDNet
23-12-31	MSGNet		AAAI 2024	MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting	MSGNet
24-01-15	RGDAN		NN 2024	RGDAN: A random graph diffusion attention network for traffic prediction	RGDAN
24-01-16	BiTGraph		ICLR 2024	Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values	BiTGraph
24-01-24	TMP		AAAI 2024	Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence	None
24-02-16	HD-TTS		ICML 2024	Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling	hdtts
24-05-02	T-PATCHGNN		ICML 2024	Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach	t-PatchGNN
24-05-17	HimNet		KDD 2024	Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting	HimNet
24-05-28	GFC-GNN		Arxiv 2024	ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks	None
24-06-18	SAGDFN		ICDE 2024	SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting	None
24-10-17	GNeuralFlow		NIPS 2024	Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series	GNeuralFlow
24-10-24	TEAM		VLDB 2025	TEAM: Topological Evolution-aware Framework for Traffic Forecasting	TEAM
25-01-22	TimeFilter		ICML 2025	TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting	TimeFilter
25-02-21	EVTSF		Arxiv 2025	Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning	None
25-05-07	STRGCN		Arxiv 2025	STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting	None
25-05-23	HyperIMTS		ICML 2025	HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting	HyperIMTS

SSM (State Space Model).

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
18-05-18	DSSM	NIPS 2018	Deep State Space Models for Time Series Forecasting	None
19-08-10	DSSMF	IJCAI 2019	Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting	None
22-08-19	SSSD	TMLR 2022	Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models	SSSD
22-09-22	SpaceTime	ICLR 2023	Effectively Modeling Time Series with Simple Discrete State Spaces	SpaceTime
22-12-24	LS4	ICML 2023	Deep Latent State Space Models for Time-Series Generation	LS4
24-02-18	Attraos	Arxiv 2024	Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective	None
24-03-14	TimeMachine	Arxiv 2024	TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting	None
24-03-17	S-D-Mamba	Arxiv 2024	Is Mamba Effective for Time Series Forecasting?	S-D-Mamba
24-03-22	SiMBA	Arxiv 2024	SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series	Simba
24-03-29	TSM2	Arxiv 2024	MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection	M2
24-04-23	Mambaformer	Arxiv 2024	Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting	Mambaformer
24-04-24	Bi-Mamba4TS	Arxiv 2024	Bi-Mamba4TS: Bidirectional Mamba for Time Series Forecasting	None
24-05-11	DTMamba	Arxiv 2024	DTMamba: Dual Twin Mamba for Time Series Forecasting	None
24-05-25	Time-SSM	Arxiv 2024	Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting	None
24-05-26	MambaTS	Arxiv 2024	MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting	None
24-06-06	Chimera	Arxiv 2024	Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models	None
24-06-08	C-Mamba	Arxiv 2024	C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting	CMamba
24-07-20	FMamba	Arxiv 2024	FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting	None
24-08-17	SSL	Arxiv 2024	Time Series Analysis by State Space Learning	None
24-08-22	SAMBA	Arxiv 2024	Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting	None
24-08-28	MoU	Arxiv 2024	Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need	MoU
24-09-26	SAMBA	Arxiv 2024	Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price Prediction	SAMBA
24-10-04	LinOSS	Arxiv 2024	Oscillatory State-Space Models	None
24-10-15	UmambaTSF	Arxiv 2024	UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba	None
24-10-28	FACTS	Arxiv 2024	FACTS: A Factored State-Space Framework For World Modelling	FACTS
24-10-30	SOR-Mamba	Arxiv 2024	Sequential Order-Robust Mamba for Time Series Forecasting	SOR-Mamba
24-11-26	MTS-UNMixers	Arxiv 2024	MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing	MTS-UNMixers
24-12-01	DSSRNN	Arxiv 2024	DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis	DSSRNN
25-01-23	ACSSM	ICLR 2025	Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series	None
25-01-23	S4M	ICLR 2025	S4M: S4 for multivariate time series forecasting with Missing values	S4M
25-03-13	Mamba-ProbTSF	Arxiv 2025	Mamba time series forecasting with uncertainty propagation	mamba-probtsf
25-04-02	Attention Mamba	Arxiv 2025	Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements	None
25-04-10	ms-Mamba	Arxiv 2025	ms-Mamba: Multi-scale Mamba for Time-Series Forecasting	None
25-05-27	TimePro	ICML 2025	TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state	TimePro

Generation Model.

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
20-02-14	MAF🌟	ICLR 2021	Multivariate Probabilitic Time Series Forecasting via Conditioned Normalizing Flows	MAF
21-01-18	TimeGrad🌟	ICML 2021	Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting	TimeGrad
21-07-07	CSDI	NIPS 2021	CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation	CSDI
22-05-16	MANF	Arxiv 2022	Multi-scale Attention Flow for Probabilistic Time Series Forecasting	None
22-05-16	D3VAE	NIPS 2022	Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement	D3VAE
22-12-28	Hier-Transformer-CNF	Arxiv 2022	End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation	None
23-03-13	HyVAE	Arxiv 2023	Hybrid Variational Autoencoder for Time Series Forecasting	None
23-06-03	DYffusion	NIPS 2023	DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting	DYffusion
23-06-05	WIAE	Arxiv 2023	Non-parametric Probabilistic Time Series Forecasting via Innovations Representation	None
23-06-08	TimeDiff🌟	ICML 2023	Non-autoregressive Conditional Diffusion Models for Time Series Prediction	None
23-07-21	TSDiff	NIPS 2023	Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting	TSDiff
24-01-16	FTS-Diffusion	ICLR 2024	Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns	None
24-01-16	MG-TSD	ICLR 2024	MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process	MG-TSD
24-01-16	TMDM	ICLR 2024	Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting	None
24-01-16	mr-Diff	ICLR 2024	Multi-Resolution Diffusion Models for Time Series Forecasting	None
24-01-16	Diffusion-TS	ICLR 2024	Diffusion-TS: Interpretable Diffusion for General Time Series Generation	Diffusion-TS
24-01-16	SpecSTG	Arxiv 2024	SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting	SpecSTG
24-02-03	GenFormer	Arxiv 2024	GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes	GenFormer
24-01-30	IN-Flow	Arxiv 2024	Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows	None
24-03-24	LDT	AAAI 2024	Latent Diffusion Transformer for Probabilistic Time Series Forecasting	None
24-06-04	GPD	Arxiv 2024	Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting	None
24-06-05	StochDiff	Arxiv 2024	Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting	None
24-06-11	ProFITi	Arxiv 2024	Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting	None
24-09-03	TimeDiT	Arxiv 2024	TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model	None
24-09-18	SI	Arxiv 2024	Recurrent Interpolants for Probabilistic Time Series Prediction	None
24-09-27	Bim-Diff	Arxiv 2024	Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series	None
24-10-03	CCDM	Arxiv 2024	Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting	CCDM
24-10-03	TSFlow	ICLR 2025	Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting	None
24-10-08	TimeDART	ICML 2025	Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting	TimeDART
24-10-17	FDF	Arxiv 2024	FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling	FDF
24-10-18	ANT	NIPS 2024	ANT: Adaptive Noise Schedule for Time Series Diffusion Models	ANT
24-10-21	REDI	CIKM 2024	REDI: Recurrent Diffusion Model for Probabilistic Time Series Forecasting	None
24-10-24	RATD	NIPS 2024	Retrieval-Augmented Diffusion Models for Time Series Forecasting	RATD
24-11-02	ProGen	Arxiv 2024	ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential Equations	None
24-11-07	S2DBM	Arxiv 2024	Series-to-Series Diffusion Bridge Model	None
24-11-12	FM-TS	Arxiv 2024	FM-TS: Flow Matching for Time Series Generation	FMTS
24-12-12	ARMD	AAAI 2025	Auto-Regressive Moving Diffusion Models for Time Series Forecasting	ARMD
25-01-23	D3U	ICLR 2025	Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting	None
25-02-16	LDM4TS	Arxiv 2025	Vision-Enhanced Time Series Forecasting via Latent Diffusion Models	None
25-02-26	Hutch++	AISTATS 2025	Optimal Stochastic Trace Estimation in Generative Modeling	Hutch++
25-03-02	DyDiff	ICLR 2025	Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models	DyDiff
25-05-07	NsDiff	ICML 2025	Non-stationary Diffusion For Probabilistic Time Series Forecasting	NsDiff
25-05-16	FALDA	Arxiv 2025	Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion	None
25-05-29	K2VAE	ICML 2025	K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting	k2vae

Time-index.

Date	Method	Type	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
17-05-25	ND		TNNLS 2017	Neural Decomposition of Time-Series Data for Effective Generalization	None
17-08-25	Prophet🌟		TAS 2018	Forecasting at Scale	Prophet
22-07-13	DeepTime		ICML 2023	Learning Deep Time-index Models for Time Series Forecasting	DeepTime
23-06-09	TimeFlow		Arxiv 2023	Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations	None
24-01-16	DAM🌟		ICLR 2024	DAM: Towards A Foundation Model for Time Series Forecasting	None

Plug and Play (Model-Agnostic).

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
19-02-21	DAIN🌟	TNNLS 2020	Deep Adaptive Input Normalization for Time Series Forecasting	DAIN
19-09-19	DILATE	NIPS 2019	Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models	DILATE
21-07-19	TAN	NIPS 2021	Topological Attention for Time Series Forecasting	TAN
21-09-29	RevIN🌟🔥	ICLR 2022	Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift	RevIN
22-02-23	MQF2	AISTATS 2022	Multivariate Quantile Function Forecaster	None
22-05-18	FiLM	NIPS 2022	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting	FiLM
23-02-18	FrAug	Arxiv 2023	FrAug: Frequency Domain Augmentation for Time Series Forecasting	FrAug
23-02-22	Dish-TS	AAAI 2023	Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting	Dish-TS
23-02-23	Adaptive Sampling	NIPSW 2022	Adaptive Sampling for Probabilistic Forecasting under Distribution Shift	None
23-04-19	RoR	ICML 2023	Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts	RoR
23-05-26	BetterBatch	Arxiv 2023	Better Batch for Deep Probabilistic Time Series Forecasting	None
23-05-28	PALS	Arxiv 2023	Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers	None
23-06-09	FeatureProgramming	ICML 2023	Feature Programming for Multivariate Time Series Prediction	FeatureProgramming
23-07-18	Look_Ahead	SIGIR 2023	Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features	Look_Ahead
23-09-14	QFCV	Arxiv 2023	Uncertainty Intervals for Prediction Errors in Time Series Forecasting	QFCV
23-09-24	SAN	NIPS 2023	Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective	SAN
23-10-09	PeTS	Arxiv 2023	Performative Time-Series Forecasting	PeTS
23-10-23	EDAIN	Arxiv 2023	Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks	EDAIN
23-10-23	SOLID	KDD 2024	Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift	SOLID
23-11-19	TimeSQL	Arxiv 2023	TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss	None
24-01-16	LIFT	ICLR 2024	Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators	None
24-01-16	RobustTSF	ICLR 2024	RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies	RobustTSF
24-02-04	FreDF🌟	ICLR 2025	Label Correlation Biases Direct Time Series Forecast	FreDF
24-02-14	PDLS	ICML 2024	Transformers with Loss Shaping Constraints for Long-Term Time Series Forecasting	None
24-02-20	Leddam	ICML 2024	Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling	None
24-03-01	InfoTime	Arxiv 2024	Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling	None
24-03-13	wavelet-ML	Arxiv 2024	Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting	None
24-03-31	CCM	NIPS 2024	From Similarity to Superiority: Channel Clustering for Time Series Forecasting	TimeSeriesCCM
24-05-24	UnitNorm	Arxiv 2024	UnitNorm: Rethinking Normalization for Transformers in Time Series	UnitNorm
24-05-29	HCAN	Arxiv 2024	Hierarchical Classification Auxiliary Network for Time Series Forecasting	HCAN
24-05-30	S3	NIPS 2024	Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations	S3
24-06-07	TDT	Arxiv 2024	TDT Loss Takes It All: Integrating Temporal Dependencies among Targets into Non-Autoregressive Time Series Forecasting	None
24-06-19	Gaussian	Arxiv 2024	Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler	None
24-07-21	TimeInf	Arxiv 2024	TimeInf: Time Series Data Contribution via Influence Functions	TimeInf
24-07-24	C-LoRA	CIKM 2024	Channel-Aware Low-Rank Adaptation in Time Series Forecasting	C-LoRA
24-08-20	Wave-Augs	Arxiv 2024	Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting	Wave-Augs
24-08-27	Channel-wise Influence	Arxiv 2024	Channel-wise Influence: Estimating Data Influence for Multivariate Time Series	None
24-09-10	AutoTSAug	Arxiv 2024	Learning Augmentation Policies from A Model Zoo for Time Series Forecasting	None
24-09-23	MotifDisco	Arxiv 2024	MotifDisco: Motif Causal Discovery For Time Series Motifs	None
24-09-25	FBM	NIPS 2024	Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting	FBM
24-09-27	GLAFF	NIPS 2024	Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective	GLAFF
24-09-30	FAN	NIPS 2024	Frequency Adaptive Normalization For Non-stationary Time Series Forecasting	FAN
24-10-02	FredNormer	Arxiv 2024	FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting	None
24-10-03	FAN	Arxiv 2024	FAN: Fourier Analysis Networks	FAN
24-10-04	GAS-Norm	CIKM 2024	GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning	GAS-Norm
24-10-09	TOI	NIPS 2024	Task-oriented Time Series Imputation Evaluation via Generalized Representers	TOI
24-10-19	FGL	Arxiv 2024	Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting	None
24-10-28	BSA	NIPS 2024	Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting	BSA
24-10-30	DisenTS	Arxiv 2024	DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting	None
24-10-30	CM	Arxiv 2024	Partial Channel Dependence with Channel Masks for Time Series Foundation Models	CM
24-10-31	MLP replace attention	Arxiv 2024	Approximate attention with MLP: a pruning strategy for attention-based model in multivariate time series forecasting	None
24-11-12	RAF	Arxiv 2024	Retrieval Augmented Time Series Forecasting	RAF
24-11-24	Freq-Synth	Arxiv 2024	Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting	None
24-12-02	TimeLinear	Arxiv 2024	How Much Can Time-related Features Enhance Time Series Forecasting?	TimeLinear
24-12-06	WaveToken	Arxiv 2024	Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization	None
24-12-21	LDM	Arxiv 2024	Breaking the Context Bottleneck on Long Time Series Forecasting	LDM
24-12-27	PCA	Arxiv 2024	Revisiting PCA for time series reduction in temporal dimension	None
24-12-30	TimeRAF	Arxiv 2024	TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting	None
25-01-02	HPO	Arxiv 2025	A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models	HPO
25-01-06	Sequence Complementor	AAAI 2025	Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences	None
25-01-09	TAFAS	AAAI 2025	Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation	TAFAS
25-01-23	PN-Train	ICLR 2025	Investigating Pattern Neurons in Urban Time Series Forecasting	PN-Train
25-01-23	CoMRes	ICLR 2025	CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution	None
25-02-20	SCAM	Arxiv 2025	Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting	SCAM
25-03-02	PS_Loss	Arxiv 2025	Patch-wise Structural Loss for Time Series Forecasting	PS_Loss
25-03-25	Rejection	Arxiv 2025	Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms	None
25-04-19	Pets	Arxiv 2025	Pets: General Pattern Assisted Architecture For Time Series Analysis	None
25-04-24	GOTSF	Arxiv 2025	Goal-Oriented Time-Series Forecasting: Foundation Framework Design	GOTSF
25-05-13	SPAT	Arxiv 2025	SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models	SPAT
25-05-16	X-Freq	Arxiv 2025	Beyond Time: Cross-Dimensional Frequency Supervision for Time Series Forecasting	None
25-05-16	KNN-MTS	TNNLS 2024	Nearest Neighbor Multivariate Time Series Forecasting	KNN-MTS
25-05-20	Adaptive tokenization	Arxiv 2025	Byte Pair Encoding for Efficient Time Series Forecasting	None
25-05-20	Toto	Arxiv 2025	This Time is Different: An Observability Perspective on Time Series Foundation Models	Toto
25-05-21	Adaptive Optimization	Arxiv 2025	Human in the Loop Adaptive Optimization for Improved Time Series Forecasting	None
25-05-29	PIR	NIPS 2025	Improving Time Series Forecasting via Instance-aware Post-hoc Revision	PIR
25-07-21	PRO-DYN	Arxiv 2025	Dynamics is what you need for time-series forecasting!	None
25-09-17	AliO	NIPS 2025	AliO: Output Alignment Matters in Long-Term Time Series Forecasting	AliO
25-11-08	PFRP	AAAI 2026	Predicting the Future by Retrieving the Past	PFRP

LLM (Large Language Model).

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
22-09-20	PromptCast	TKDE 2023	PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting	PISA
23-02-23	FPT 🌟	NIPS 2023	One Fits All: Power General Time Series Analysis by Pretrained LM	One-Fits-All
23-05-17	LLMTime	NIPS 2023	Large Language Models Are Zero-Shot Time Series Forecasters	LLMTime
23-08-16	TEST	ICLR 2024	TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series	None
23-08-16	LLM4TS	Arxiv 2023	LLM4TS: Two-Stage Fine-Tuning for Time-Series Forecasting with Pre-Trained LLMs	None
23-10-03	Time-LLM	ICLR 2024	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models	None
23-10-08	TEMPO	ICLR 2024	TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting	TEMPO
23-10-12	Lag-Llama	Arxiv 2023	Lag-Llama: Towards Foundation Models for Time Series Forecasting	Lag-Llama
23-10-15	UniTime	WWW 2024	UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting	UniTime
23-11-03	ForecastPFN	NIPS 2023	ForecastPFN: Synthetically-Trained Zero-Shot Forecasting	ForecastPFN
23-11-24	FPT++ 🌟	Arxiv 2023	One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors	GPT4TS_Adapter
24-01-18	ST-LLM	Arxiv 2024	Spatial-Temporal Large Language Model for Traffic Prediction	None
24-02-01	LLMICL	Arxiv 2024	LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law	LLMICL
24-02-04	AutoTimes	NIPS 2024	AutoTimes: Autoregressive Time Series Forecasters via Large Language Models	AutoTimes
24-02-05	Position	ICML 2024	Position: What Can Large Language Models Tell Us about Time Series Analysis	None
24-02-07	aLLM4TS	ICML 2024	Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning	None
24-02-16	TSFwithLLM	Arxiv 2024	Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities	None
24-02-25	LSTPrompt	Arxiv 2024	LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting	LSTPrompt
24-03-09	S2IP-LLM	ICML 2024	S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting	None
24-03-12	CALF	AAAI 2025	CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning	CALF
24-03-12	Chronos 🌟	Arxiv 2024	Chronos: Learning the Language of Time Series	Chronos
24-04-17	TSandLanguage	Arxiv 2024	Language Models Still Struggle to Zero-shot Reason about Time Series	TSandLanguage
24-05-22	TGForecaster	Arxiv 2024	Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues	tgtsf
24-05-23	Time-FFM	NIPS 2024	Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting	None
24-06-03	TimeCMA	AAAI 2025	TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment	TimeCMA
24-06-07	LMGF	Arxiv 2024	A Language Model-Guided Framework for Mining Time Series with Distributional Shifts	None
24-06-20	LTSM-bundle	Arxiv 2024	Understanding Different Design Choices in Training Large Time Series Models	ltsm
24-06-22	AreLLMUseful🌟	NIPS 2024	Are Language Models Actually Useful for Time Series Forecasting?	ts_models
24-07-30	FedTime	Arxiv 2024	A federated large language model for long-term time series forecasting	None
24-08-22	LLMGeovec	Arxiv 2024	Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning	None
24-08-24	RePST	IJCAI 2025	RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming	RePST
24-09-17	MLLM	NIPSW 2024	Towards Time Series Reasoning with LLMs	None
24-10-04	MetaTST	Arxiv 2024	Metadata Matters for Time Series: Informative Forecasting with Transformers	None
24-10-15	LLM-Mixer	Arxiv 2024	LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting	LLMMixer
24-10-16	NoLLM	Arxiv 2024	Revisited Large Language Model for Time Series Analysis through Modality Alignment	None
24-10-18	XForecast	Arxiv 2024	XForecast: Evaluating Natural Language Explanations for Time Series Forecasting	None
24-10-21	LLM-TS	Arxiv 2024	LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling	None
24-10-28	Strada-LLM	Arxiv 2024	Strada-LLM: Graph LLM for traffic prediction	None
24-10-29	Fourier-Head	Arxiv 2024	Fourier Head: Helping Large Language Models Learn Complex Probability Distributions	Fourier-Head
24-11-24	TableTime	Arxiv 2024	TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models	TableTime
24-11-24	LeMoLE	Arxiv 2024	LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting	None
24-12-03	LLMForecaster	Arxiv 2024	LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data	None
24-12-06	NNCL-TLLM	Arxiv 2024	Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning	None
24-12-16	Apollo-Forecast	AAAI 2025	Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting	None
24-12-21	TimeRAG	ICASSP 2025	TimeRAG: Boosting LLM Time Series Forecasting via Retrieval-Augmented Generation	None
25-01-07	DECA	ICLR 2025	Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series	None
25-01-10	MPT	Arxiv 2025	Using Pre-trained LLMs for Multivariate Time Series Forecasting	None
25-02-04	LASTS	Arxiv 2025	LAST SToP For Modeling Asynchronous Time Series	None
25-02-09	FinSeer	Arxiv 2025	Retrieval-augmented Large Language Models for Financial Time Series Forecasting	None
25-02-25	STEM-LTS	AAAI 2025	STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis	STEM-LTS
25-03-05	SMETimes	Arxiv 2025	Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs	SMETimes
25-03-10	LTM	Arxiv 2025	A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph	None
25-03-11	LangTime	ICML 2025	LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization	LangTime
25-03-12	LLM-PS	Arxiv 2025	LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics	None
25-04-02	ModelSelection	Arxiv 2025	Efficient Model Selection for Time Series Forecasting via LLMs	None
25-04-10	MLTA	DASFAA 2025	Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs	MLTA
25-05-04	TimeKD	ICDE 2025	Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation	timekd
25-05-16	Logo-LLM	Arxiv 2025	Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting	None
25-05-19	SGCMA	Arxiv 2025	Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment	None
25-05-30	TimeReasoner	Arxiv 2025	Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting	TimeReasoner
25-06-12	Time-R1	Arxiv 2025	Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs	Time-R1
25-08-08	TokenCast	Arxiv 2025	From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization	TokenCast
25-08-16	FreqLLM	IJCAI 2025	FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting	FreqLLM
25-08-16	LLM-TPF	IJCAI 2025	LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting	LLM-TPF
25-09-15	FSTLLM	ICML 2025	FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting	FSTLLM

Representation Learning.

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
20-10-06	TST	KDD 2021	A Transformer-based Framework for Multivariate Time Series Representation Learning	mvts_transformer
21-06-26	TS-TCC	IJCAI 2021	Time-Series Representation Learning via Temporal and Contextual Contrasting	TS-TCC
21-09-29	CoST	ICLR 2022	CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting	CoST
22-05-16	LaST	NIPS 2022	LaST: Learning Latent Seasonal-Trend Representations for Time Series Forecasting	LaST
22-06-18	STEP	KDD 2022	Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting	STEP
22-06-28	TS2Vec	AAAI 2022	TS2Vec: Towards Universal Representation of Time Series	ts2vec
23-02-02	SimMTM	NIPS 2023	SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling	SimMTM
23-02-07	DBPM	ICLR 2024	Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach	None
23-03-01	TimeMAE	Arxiv 2023	TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders	TimeMAE
23-08-02	Floss	Arxiv 2023	Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach	floss
23-12-01	STD_MAE	Arxiv 2023	Spatio-Temporal-Decoupled Masked Pre-training for Traffic Forecasting	STD_MAE
23-12-25	TimesURL	AAAI 2024	TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning	None
24-01-16	SoftCLT	ICLR 2024	Soft Contrastive Learning for Time Series	None
24-01-16	PITS	ICLR 2024	Learning to Embed Time Series Patches Independently	PITS
24-01-16	T-Rep	ICLR 2024	T-Rep: Representation Learning for Time Series using Time-Embeddings	None
24-01-16	AutoTCL	ICLR 2024	Parametric Augmentation for Time Series Contrastive Learning	None
24-01-16	AutoCon	ICLR 2024	Self-Supervised Contrastive Learning for Long-term Forecasting	AutoCon
24-02-04	TimeSiam	ICML 2024	TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling	None
24-03-19	CrossTimeNet	WSDM 2025	Cross-Domain Pre-training with Language Models for Transferable Time Series Representations	crosstimenet
24-03-31	SimTS	ICASSP 2024	Rethinking Contrastive Representation Learning for Time Series Forecasting	simTS
24-05-02	UP2ME	ICML 2024	UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis	UP2ME
24-05-28	TSRM	Arxiv 2024	Time Series Representation Models	TSRM
24-08-24	TSDE	KDD 2024	Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask	TSDE
25-01-22	PPT	ICLR 2025	PPT: Patch Order Do Matters In Time Series Pretext Task	PPT
25-02-05	TopoCL	Arxiv 2025	TopoCL: Topological Contrastive Learning for Time Series	None

Foundation Model.

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
23-10-14	TimesFM	ICML 2024	A decoder-only foundation model for time-series forecasting	timesfm
24-01-08	TTMs	Arxiv 2024	Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series	TTMs
24-02-04	Timer	ICML 2024	Timer: Generative Pre-trained Transformers Are Large Time Series Models	Timer
24-02-04	Moirai	ICML 2024	Unified Training of Universal Time Series Forecasting Transformers	Moirai
24-02-06	MOMENT	ICML 2024	MOMENT: A Family of Open Time-series Foundation Models	MOMENT
24-02-14	GTT	CIKM 2024	General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting	GTT
24-02-19	UniST	KDD 2024	UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction	UniST
24-02-26	TOTEM	TMLR 2024	TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis	TOTEM
24-02-26	GPHT	KDD 2024	Generative Pretrained Hierarchical Transformer for Time Series Forecasting	GPHT
24-02-29	UniTS	NIPS 2024	UniTS: Building a Unified Time Series Model	UniTS
24-05-17	UniCL	Arxiv 2024	UniCL: A Universal Contrastive Learning Framework for Large Time Series Models	UniTS
24-05-24	NuwaTS	Arxiv 2024	NuwaTS: a Foundation Model Mending Every Incomplete Time Series	NuwaTS
24-05-24	ROSE	Arxiv 2024	ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning	None
24-07-10	ViTime	Arxiv 2024	ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting	ViTime
24-07-10	Toto	Arxiv 2024	Toto: Time Series Optimized Transformer for Observability	None
24-08-16	OpenCity	Arxiv 2024	OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction	OpenCity
24-08-30	VisionTS 🌟	Arxiv 2024	VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters	VisionTS
24-09-17	ImplicitReason	NIPSW 2024	Implicit Reasoning in Deep Time Series Forecasting	None
24-09-24	Time-MoE	ICLR 2025	Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts	Time-MoE
24-10-07	Timer-XL	ICLR 2025	Timer-XL: Long-Context Transformers for Unified Time Series Forecasting	Timer-XL
24-10-09	OTiS	Arxiv 2024	Towards Generalisable Time Series Understanding Across Domains	otis
24-10-14	Moirai-MoE	Arxiv 2024	Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts	None
24-10-30	FlexTSF	Arxiv 2024	FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities	FlexTSF
24-10-31	ICF	ICML 2025	In-Context Fine-Tuning for Time-Series Foundation Models	None
24-11-05	TSMamba	Arxiv 2024	A Mamba Foundation Model for Time Series Forecasting	None
24-12-01	WQ4TS	Arxiv 2024	A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series	None
25-01-27	TimeHF	Arxiv 2025	TimeHF: Billion-Scale Time Series Models Guided by Human Feedback	None
25-02-02	Sundial	Arxiv 2025	Sundial: A Family of Highly Capable Time Series Foundation Models	None
25-02-05	GTM	Arxiv 2025	General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data	None
25-02-05	CAPE	Arxiv 2025	CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting	None
25-02-09	Reasoning	Arxiv 2025	Investigating Compositional Reasoning in Time Series Foundation Models	tsfm_reasoning
25-02-14	AdaPTS	Arxiv 2025	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting	AdaPTS
25-02-17	Robustness	Arxiv 2025	On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series	None
25-02-22	TimePFN	AAAI 2025	TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data	TimePFN
25-02-28	TimesBERT	Arxiv 2025	TimesBERT: A BERT-Style Foundation Model for Time Series Understanding	None
25-03-04	SeqFusion	Arxiv 2025	SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting	SeqFusion
25-03-06	TimeFound	Arxiv 2025	TimeFound: A Foundation Model for Time Series Forecasting	None
25-03-06	TS-RAG	Arxiv 2025	TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster	None
25-03-15	ChronosX	AISTATS 2025	ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables	chronosx
25-03-21	TRACE	Arxiv 2025	TRACE: Time SeRies PArameter EffiCient FinE-tuning	None
25-05-21	Time Tracker	Arxiv 2025	Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines	None

Multi-Agent.

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
24-08-18	Agentic-RAG	KDDW 2024	Agentic Retrieval-Augmented Generation for Time Series Analysis	None
24-10-05	TS-Reasoner	Arxiv 2024	Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis	None
25-04-14	IA_news_model	Arxiv 2025	Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?	IA_news_model
26-05-24	AION	Arxiv 2026	AION: Next-Generation Tasks and Practical Harness for Time Series	AION

Multi-Modal.

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
24-02-20	GPT4MTS	AAAI 2024	GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting	GPT4MTS
24-03-19	InstructTime	WSDM 2025	InstructTime: Advancing Time Series Classification with Multimodal Language Modeling	InstructTime
24-06-12	Time-MMD	NIPS 2024	Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis	time-mmd
24-09-26	From News to Forecast	NIPS 2024	From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection	From_News_to_Forecast
24-10-16	ContextFormer	Arxiv 2024	Context Matters: Leveraging Contextual Features for Time Series Forecasting	None
24-11-11	Hybrid-MMF	Arxiv 2024	Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data	Multimodal_Forecasting
24-12-04	ChatTS	VLDB 2025	ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning	ChatTS
24-12-16	ChatTime	AAAI 2025	ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data	ChatTime
25-01-13	TextFusionHTS	NIPSW 2024	Unveiling the Potential of Text in High-Dimensional Time Series Forecasting	TextFusionHTS
25-01-13	TempoGPT	Arxiv 2025	TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding	TempoGPT
25-02-03	Position	Arxiv 2025	Position: Empowering Time Series Reasoning with Multimodal LLMs	None
25-02-06	Time-VLM	ICML 2025	Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting	TimeVLM
25-02-07	CAMEF	KDD 2025	CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements	CAMEF
25-02-13	TaTS	Arxiv 2025	Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative	None
25-02-26	Time-MQA	ACL 2025	Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement	Time-MQA
25-03-02	TimeXL	Arxiv 2025	Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop	None
25-03-21	MTBench	Arxiv 2025	MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answering	MTBench
25-04-28	MCD-TSF	Arxiv 2025	Multimodal Conditioned Diffusive Time Series Forecasting	MCD-TSF
25-05-02	Dual-Forecaster	Arxiv 2025	Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts	None
25-05-15	ChronoSteer	Arxiv 2025	ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data	None
25-05-16	CAPTime	Arxiv 2025	Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting	None
25-05-20	CHARM	Arxiv 2025	Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions	None
25-05-21	MoTime	Arxiv 2025	MoTime: A Dataset Suite for Multimodal Time Series Forecasting	None
25-08-16	Beyond Statistical Analysis	IJCAI 2025	Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern	None
26-01-13	WhatIfTSF	Arxiv 2026	What If TSF: A Benchmark for Reframing Forecasting as Scenario-Guided Multimodal Forecasting	WhatIfTSF

Domain Adaptation.

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
21-02-13	DAF	ICML 2022	Domain Adaptation for Time Series Forecasting via Attention Sharing	DAF
21-06-13	FOIL	ICML 2024	Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning	FOIL
24-08-24	STONE	KDD 2024	STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts	STONE
24-10-06	EAC	ICLR 2025	Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting	EAC
24-12-15	LTG	Arxiv 2024	Learning Latent Spaces for Domain Generalization in Time Series Forecasting	None
25-02-23	LCA	Arxiv 2025	Time Series Domain Adaptation via Latent Invariant Causal Mechanism	LCA

Online.

Date	Method	Type	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
22-02-23	FSNet		ICLR 2023	Learning Fast and Slow for Online Time Series Forecasting	FSNet
23-09-22	OneNet		NIPS 2023	OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling	OneNet
23-09-25	MemDA		CIKM 2023	MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation	None
24-01-08	ADCSD		Arxiv 2024	Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting	ADCSD
24-02-03	TSF-HD		Arxiv 2024	A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge	TSF-HD
24-02-20	SKI-CL		Arxiv 2024	Structural Knowledge Informed Continual Multivariate Time Series Forecasting	None
24-03-22	D3A		Arxiv 2024	Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt	None
24-09-29	EvoMSN		Arxiv 2024	Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts	EvoMSN
24-12-11	Proceed		KDD 2025	Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting	Proceed
25-01-23	DSOF		ICLR 2025	Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage	None
25-02-18	LSTD		AAAI 2025	Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting	LSTD
25-02-18	AdapTS		Arxiv 2025	Lightweight Online Adaption for Time Series Foundation Model Forecasts	None
25-05-28	CEP		Arxiv 2025	Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting	CEP TS
25-05-31	ST-TTC		Arxiv 2025	Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting	None

KAN (Kolmogorov–Arnold Network).

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
24-05-12	TKAN	Arxiv 2024	TKAN: Temporal Kolmogorov-Arnold Networks	tkan
24-05-14	KAN	Arxiv 2024	Kolmogorov-Arnold Networks (KANs) for Time Series Analysis	None
24-06-04	TKAT	Arxiv 2024	A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting	TKAT
24-06-04	MT-KAN	Arxiv 2024	Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability	None
24-08-21	KAN4TSF	Arxiv 2024	KAN4TSF: Are KAN and KAN-based models Effective for Time Series Forecasting?	kan4tsf
24-10-13	WormKAN	NIPSW 2024	Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?	None
24-10-19	HiPPO-KAN	Arxiv 2024	HiPPO-KAN: Efficient KAN Model for Time Series Analysis	None
24-12-19	NBEATS-KAN	NIPSW 2024	Zero Shot Time Series Forecasting Using Kolmogorov Arnold Networks	None
25-02-10	TimeKAN	ICLR 2025	TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting	TimeKAN
25-02-25	TSKANMixer	AAAIW 2025	TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting	None
25-04-23	iTFKAN	Arxiv 2025	iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network	None

Theory.

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
22-10-25	WaveBound	NIPS 2022	WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting	WaveBound
23-05-25	Ensembling	ICML 2023	Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting	None
24-12-08	CurseofAttention	Arxiv 2024	Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond	None
24-12-27	BAPC	Arxiv 2024	Surrogate Modeling for Explainable Predictive Time Series Corrections	None
25-02-14	WeaKL	Arxiv 2025	Forecasting time series with constraints	WeaKL

Other.

Date	Method	Conference	Paper Title and Paper Interpretation (In Chinese)	Code
16-12-05	TRMF	NIPS 2016	Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction	TRMF
23-05-23	DF2M	ICML 2024	Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization	None
24-01-16	STanHop-Net	ICLR 2024	STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction	None
24-02-02	SNN	ICML 2024	Efficient and Effective Time-Series Forecasting with Spiking Neural Networks	None
24-03-12	BayesNF	Arxiv 2024	Scalable Spatiotemporal Prediction with Bayesian Neural Fields	BayesNF
24-05-16	LaT-PFN	Arxiv 2024	LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting	None
24-05-24	ScalingLaw	NIPS 2024	Scaling Law for Time Series Forecasting	ScalingLaw
24-06-04	CondTSF	Arxiv 2024	CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting	None
24-06-14	MTL	Arxiv 2024	Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting	None
24-10-03	BackTime	NIPS 2024	BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting	BackTime
24-10-30	SwimRNN	Arxiv 2024	Gradient-free training of recurrent neural networks	swimrnn
24-11-06	FACTS	VLDB 2025	Fully Automated Correlated Time Series Forecasting in Minutes	FACTS
24-12-23	EasyTime	ICDE 2025	EasyTime: Time Series Forecasting Made Easy	None
24-12-27	RS3GP	Arxiv 2024	Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes	None
25-01-06	TabPFN-TS	NIPSW 2024	The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features	TabPFN-TS
25-01-23	TS-LIF	ICLR 2025	TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting	TS-LIF
25-01-23	LCESN	ICLR 2025	Locally Connected Echo State Networks for Time Series Forecasting	LCESN
25-01-23	KooNPro	ICLR 2025	KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Processes for Time Series Forecasting	Koonpro
25-01-26	TCTNN	Arxiv 2025	Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory	TCTNN
25-01-27	METAFORS	Arxiv 2025	Tailored Forecasting from Short Time Series via Meta-learning	None
25-03-26	PINN	Arxiv 2025	Physics-Informed Neural Networks with Unknown Partial Differential Equations: an Application in Multivariate Time Series	None
25-05-09	FOCUS	Arxiv 2025	Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering	None

Star History