Awesome Attributed Graph Clustering (AGC) Papers

A curated list of papers on Attributed Graph Clustering (AGC). This list accompanies the survey paper Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering and the benchmark paper Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering.

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Table of Contents

• Survey & Benchmark
• Research Papers
  • Non-Parametric & Decoupled Methods
  • Deep Decoupled Methods
  • Deep Joint Methods
  • Hybrid Coordination Methods
  • Multi-View and Multimodal Graph Clustering
  • Attributed Hypergraph Clustering
  • Dynamic and Temporal Graph Clustering
  • Attribute-Missing Graph Clustering
  • Large-Scale and Scalable Methods
  • LLM-Enhanced Graph Clustering
  • Federated Graph Clustering
  • Other Extensions
• Application Papers
  • Fraud Detection and Anomaly Detection
  • Recommendation Systems
  • Graph Condensation and Distillation
  • Bioinformatics and Medical Science
  • Natural Language Processing
• ECO Taxonomy Quick Reference
• Community Resources
• Citation

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Survey & Benchmark

Year	Venue	Title	Code
2022	TKDE	A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource	Code
2023	TCSS	An Overview of Advanced Deep Graph Node Clustering	—
2023	CIKM	A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering	Code
2025	CSUR	Clustering on Attributed Graphs: From Single-view to Multi-view	—
2025	NeurIPS	DGCBench: A Deep Graph Clustering Benchmark	Code
2025	TPAMI	Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets	Code
2026	arXiv	Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering	Code
2026	arXiv	Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering	Code

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Research Papers

Papers are organized following the Encode-Cluster-Optimize framework introduced in the survey. Within each category, papers are sorted by year (descending).

Non-Parametric & Decoupled Methods

Encoders apply fixed spectral filtering operations without learnable weights; cluster projectors are applied post-hoc to frozen embeddings.

Year	Venue	Title	Code
2025	ICML	Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation	—
2025	KDD	Spectral Subspace Clustering for Attributed Graphs	Code
2024	CIKM	Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering	—
2023	AAAI	Scalable Attributed-Graph Subspace Clustering	Code
2023	TKDE	Adaptive Graph Convolution Methods for Attributed Graph Clustering	Code
2023	TKDE	Boosting Subspace Co-Clustering via Bilateral Graph Convolution	Code
2022	TKDD	GRACE: A General Graph Convolution Framework for Attributed Graph Clustering	Code
2022	ICML	NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning	Code
2022	SDM	Fine-grained Attributed Graph Clustering	Code
2021	ICLR	Simple Spectral Graph Convolution	Code
2021	CIKM	HyperGraph Convolution Based Attributed HyperGraph Clustering	Code
2019	IJCAI	Attributed Graph Clustering via Adaptive Graph Convolution	Code

Deep Decoupled Methods

Parametric encoders are pre-trained with self-supervised representation objectives; cluster projectors are applied post-hoc to frozen embeddings.

Year	Venue	Title	Code
2026	WWW	Structure-Semantic Synergized Deep Contrastive Graph Clustering	—
2026	WWW	From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering	Code
2026	WWW	A Unified Graph Clustering Network	—
2026	ICLR	Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering	Code
2025	AAAI	One Node One Model: Featuring the Missing-Half for Graph Clustering	Code
2025	TNNLS	SynC: Synergistic Boosting of Structure and Representation for Deep Graph Clustering	Code
2025	TKDE	Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering	Code
2025	Neurocomputing	SCGC: Self-supervised Contrastive Graph Clustering	Code
2024	TKDE	Reliable Node Similarity Matrix Guided Contrastive Graph Clustering	Code
2024	Neural Networks	Negative-Free Self-Supervised Gaussian Embedding of Graphs	Code
2024	KDD	Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective	Code
2024	Nature Communications	Network Community Detection via Neural Embeddings	Code
2024	TNNLS	Improved Dual Correlation Reduction Network With Affinity Recovery	Code
2024	TNNLS	An End-to-End Deep Graph Clustering via Online Mutual Learning	—
2024	ECML-PKDD	Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning	Code
2024	LoG	Large Language Model Guided Graph Clustering	—
2023	TNNLS	Simple Contrastive Graph Clustering	Code
2023	TNNLS	Redundancy-Free Self-Supervised Relational Learning for Graph Clustering	Code
2023	TNNLS	Dual Contrastive Learning Network for Graph Clustering	Code
2023	TKDE	Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network	—
2023	Neurocomputing	Wasserstein Adversarially Regularized Graph Autoencoder	Code
2023	Neurocomputing	Neighborhood Contrastive Representation Learning for Attributed Graph Clustering	Code
2023	Neurocomputing	Mutual Boost Network for Attributed Graph Clustering	Code
2023	IJCAI	CONGREGATE: Contrastive Graph Clustering in Curvature Spaces	Code
2023	ICML	Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering	Code
2023	KDD	CARL-G: Clustering-Accelerated Representation Learning on Graphs	Code
2023	JMLR	Graph Clustering with Graph Neural Networks	Code
2023	PR	A Contrastive Variational Graph Auto-Encoder for Node Clustering	Code
2023	PR	Graph Clustering Network with Structure Embedding Enhanced	Code
2023	SDM	Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering	Code
2022	NeurIPS	Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination	Code
2022	NeurIPS	S3GC: Scalable Self-Supervised Graph Clustering	Code
2022	ICLR	Large-Scale Representation Learning on Graphs via Bootstrapping	Code
2022	KDD	GraphMAE: Self-Supervised Masked Graph Autoencoders	Code
2022	AAAI	Deep Graph Clustering via Dual Correlation Reduction	Code
2022	AAAI	Augmentation-Free Self-Supervised Learning on Graphs	Code
2022	IJCAI	Attributed Graph Clustering with Dual Redundancy Reduction	Code
2022	IJCAI	Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering	Code
2022	KBS	Graph Barlow Twins: A Self-Supervised Representation Learning Framework for Graphs	Code
2022	TKDE	Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering	Code
2022	TKDE	SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning	Code
2022	TNNLS	Embedding Graph Auto-Encoder for Graph Clustering	Code
2022	WWW	Graph Communal Contrastive Learning	Code
2022	WWW	CGC: Contrastive Graph Clustering for Community Detection and Tracking	Code
2022	WSDM	Cluster-Aware Heterogeneous Information Network Embedding	—
2022	ASONAM	Deep Graph Clustering with Random-walk based Scalable Learning	—
2021	NeurIPS	From Canonical Correlation Analysis to Self-supervised Graph Neural Networks	Code
2021	KDD	Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning	Code
2021	KDD	Spectral Clustering of Attributed Multi-relational Graphs	—
2021	Neural Networks	Spectral Embedding Network for Attributed Graph Clustering	—
2021	TKDE	CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering	Code
2021	TPAMI	Adaptive Graph Auto-Encoder for General Data Clustering	Code
2021	WWW	Effective and Scalable Clustering on Massive Attributed Graphs	Code
2020	ICML	Contrastive Multi-View Representation Learning on Graphs	Code
2020	KDD	Adaptive Graph Encoder for Attributed Graph Embedding	Code
2020	CIKM	CommDGI: Community Detection Oriented Deep Graph Infomax	Code
2020	AAAI	Unsupervised Attributed Multiplex Network Embedding	Code
2019	ICLR	Deep Graph Infomax	Code
2019	ICCV	Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning	Code
2018	IJCAI	Adversarially Regularized Graph Autoencoder for Graph Embedding	Code
2016	NeurIPS-W	Variational Graph Auto-Encoders	Code
2016	KDD	node2vec: Scalable Feature Learning for Networks	Code

Deep Joint Methods

Parametric encoders and cluster projectors are optimized simultaneously, allowing clustering objectives to directly shape the representation space.

Year	Venue	Title	Code
2026	ICML	Discriminative Attribute Graph Clustering Through Topology-Guided Contrastive Learning	—
2026	WWW	Weighted Graph Clustering via Scale Contraction and Graph Structure Learning	Code
2026	TPAMI	ASIL: Augmented Structural Information Learning for Deep Graph Clustering in Hyperbolic Space	Code
2025	TPAMI	Clustering Diffusion Model With Frequency-Signal Modulation for Variational Graph Autoencoders	Code
2025	TPAMI	Graph Prompt Clustering	Code
2025	KDD	Unsupervised Graph Clustering with Deep Structural Entropy	Code
2025	AAAI	Deep Multi-modal Graph Clustering via Graph Transformer Network	—
2025	LoG	Differentiable Community Detection with Graph Neural Networks and Stochastic Block Models	—
2024	NeurIPS	The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks	Code
2024	ICML	LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering	Code
2024	AAAI	DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization	Code
2024	AAAI	Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering	Code
2024	TNNLS	Contrastive Multiview Attribute Graph Clustering With Adaptive Encoders	—
2023	ICML	Dink-Net: Neural Clustering on Large Graphs	Code
2023	JMLR	Graph Clustering with Graph Neural Networks	Code
2022	WSDM	Efficient Graph Convolution for Joint Node Representation Learning and Clustering	Code
2022	CIKM	Higher-order Clustering and Pooling for Graph Neural Networks	Code
2022	TNNLS	Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering	Code
2022	PR	Graph Clustering via Variational Graph Embedding	—
2022	PR	Deep Graph Clustering with Multi-level Subspace Fusion	—
2021	AAAI	Deep Fusion Clustering Network	Code
2021	MM	Attention-driven Graph Clustering Network	Code
2020	ICML	Spectral Clustering with Graph Neural Networks for Graph Pooling	Code
2020	NeurIPS	Dirichlet Graph Variational Autoencoder	Code
2020	WWW	Structural Deep Clustering Network	Code
2019	IJCAI	Attributed Graph Clustering: A Deep Attentional Embedding Approach	Code

Hybrid Coordination Methods

Methods that interleave decoupled pre-training and joint fine-tuning, using confidence-gated feedback, iterative self-training, or reinforcement-based coordination.

Year	Venue	Title	Code
2025	WWW	Diffusion-based Graph-agnostic Clustering	Code
2025	NeurIPS	Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering	Code
2024	TKDD	Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder	Code
2024	KDD	NeuroCUT: A Neural Approach for Robust Graph Partitioning	Code
2024	AAAI	Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering	Code
2024	TAI	GLAC-GCN: Global and Local Topology-Aware Contrastive Graph Clustering Network	Code
2023	AAAI	Hard Sample Aware Network for Contrastive Deep Graph Clustering	Code
2023	AAAI	Cluster-guided Contrastive Graph Clustering Network	Code
2023	CIKM	Homophily-enhanced Structure Learning for Graph Clustering	Code
2023	CIKM	Robust Graph Clustering via Meta Learning for Noisy Graphs	Code
2023	MM	CONVERT: Contrastive Graph Clustering with Reliable Augmentation	Code
2023	MM	Reinforcement Graph Clustering with Unknown Cluster Number	Code
2023	ECML-PKDD	Contrastive Learning with Cluster-Preserving Augmentation for Attributed Graph Clustering	Code
2023	IJCAI	Multi-level Graph Contrastive Prototypical Clustering	—
2023	TIST	Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining	—

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Multi-View and Multimodal Graph Clustering

Methods handling multiple graph views, attribute views, heterogeneous information networks, or multimodal attributed graphs.

Year	Venue	Title	Code
2026	KDD	Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering	Code
2025	MM	Disentangling Homophily and Heterophily in Multimodal Graph Clustering	Code
2025	AAAI	Deep Multi-modal Graph Clustering via Graph Transformer Network	—
2025	IJCAI	TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs	—
2025	ICML	Multi-View Graph Clustering via Node-Guided Contrastive Encoding	Code
2025	CVPR	Attribute-Missing Multi-view Graph Clustering	—
2025	TMM	Prototype-Driven Multi-View Attribute-Missing Graph Clustering	—
2024	TPAMI	EBMGC-GNF: Efficient Balanced Multi-View Graph Clustering via Good Neighbor Fusion	Code
2024	TNNLS	Contrastive Multiview Attribute Graph Clustering With Adaptive Encoders	—
2024	MM	Balanced Multi-Relational Graph Clustering	Code
2024	AAAI	Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering	Code
2024	IJCAI	Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment	Code
2024	TKDE	BGAE: Auto-Encoding Multi-View Bipartite Graph Clustering	Code
2023	NeurIPS	Multi-view Contrastive Graph Clustering	Code
2023	TKDE	Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter	Code
2023	TKDE	Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network	—
2022	WSDM	Cluster-Aware Heterogeneous Information Network Embedding	—
2021	NeurIPS	Multi-view Contrastive Graph Clustering	Code
2021	TKDE	Multi-View Attributed Graph Clustering	Code
2021	IJCAI	Graph Filter-based Multi-view Attributed Graph Clustering	Code
2021	KDD	Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning	Code
2021	KDD	Spectral Clustering of Attributed Multi-relational Graphs	—
2020	WSDM	Deep Multi-Graph Clustering via Attentive Cross-Graph Association	Code
2020	IJCAI	MAGCN: Multi-View Attribute Graph Convolution Networks for Clustering	Code
2020	IJCAI	JANE: Jointly Adversarial Network Embedding	—
2020	AAAI	Unsupervised Attributed Multiplex Network Embedding	Code
2020	WWW	One2Multi Graph Autoencoder for Multi-view Graph Clustering	Code

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Attributed Hypergraph Clustering

Methods for clustering on hypergraphs where hyperedges connect arbitrary subsets of nodes.

Year	Venue	Title	Code
2026	WWW	From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering	Code
2025	SIGMOD	On Graph Representation for Attributed Hypergraph Clustering	Code
2025	ICCV	Hypergraph Clustering Network with Partial Attribute Imputation	—
2025	IJCAI	A Simple yet Effective Hypergraph Clustering Network	—
2024	VLDB	A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation	Code
2023	SIGMOD	Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation	Code
2021	CIKM	HyperGraph Convolution Based Attributed HyperGraph Clustering	Code

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Dynamic and Temporal Graph Clustering

Methods for clustering on evolving or temporal graphs.

Year	Venue	Title	Code
2026	WWW	Node Role-Guided LLMs for Dynamic Graph Clustering	Code
2025	TPAMI	Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets	Code
2024	ICLR	Deep Temporal Graph Clustering	Code
2022	WWW	CGC: Contrastive Graph Clustering for Community Detection and Tracking	Code
2021	CIKM	Robust Dynamic Clustering for Temporal Networks	—

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Attribute-Missing Graph Clustering

Methods handling partially or fully missing node attributes.

Year	Venue	Title	Code
2026	TPAMI	AMGC2: Rethinking Deep Graph Clustering With a High Attribute-Missing Ratio	—
2025	MM	Clustering-Oriented Generative Attribute Graph Imputation	—
2025	ICML	Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation	—
2025	ICCV	Hypergraph Clustering Network with Partial Attribute Imputation	—
2025	CVPR	Attribute-Missing Multi-view Graph Clustering	—
2025	TMM	Prototype-Driven Multi-View Attribute-Missing Graph Clustering	—
2025	IJCAI	TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs	—

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Large-Scale and Scalable Methods

Methods specifically designed for graphs with millions to billions of nodes, emphasizing linear-time complexity or mini-batch training.

Year	Venue	Title	Code
2026	SIGMOD	Effective Clustering for Large Multi-Relational Graphs	Code
2025	ICML	Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation	—
2025	KDD	Spectral Subspace Clustering for Attributed Graphs	Code
2024	VLDB	A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation	Code
2024	KDD	Effective Clustering on Large Attributed Bipartite Graphs	Code
2024	KDD	Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective	Code
2024	CIKM	Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering	—
2023	ICML	Dink-Net: Neural Clustering on Large Graphs	Code
2023	SIGMOD	Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation	Code
2022	NeurIPS	S3GC: Scalable Self-Supervised Graph Clustering	Code
2022	NeurIPS	Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination	Code
2022	ICLR	Large-Scale Representation Learning on Graphs via Bootstrapping	Code
2022	TKDE	SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning	Code
2022	ASONAM	Deep Graph Clustering with Random-walk based Scalable Learning	—
2021	WWW	Effective and Scalable Clustering on Massive Attributed Graphs	Code
2016	KDD	node2vec: Scalable Feature Learning for Networks	Code

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LLM-Enhanced Graph Clustering

Methods leveraging large language models for text-attributed graph clustering.

Year	Venue	Title	Code
2026	WWW	Node Role-Guided LLMs for Dynamic Graph Clustering	Code
2025	ACL Findings	MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering	Code
2024	LoG	Large Language Model Guided Graph Clustering	—

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Federated Graph Clustering

Methods for privacy-preserving distributed graph clustering across multiple clients.

Year	Venue	Title	Code
2026	WWW	FedCND: Federated Graph-Level Clustering under Inter-Client Cluster Number Discrepancy	—
2026	ICLR	Federated Graph-Level Clustering Network with Dual Knowledge Separation	—
2025	ICML	Federated Node-Level Clustering Network with Cross-Subgraph Link Mending	—
2025	AAAI	Federated Graph-Level Clustering Network	—

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Other Extensions

Methods addressing specialized graph clustering settings including signed graphs, heterophilous graphs, and unknown cluster numbers.

Year	Venue	Title	Code
2025	WWW	Robust Deep Signed Graph Clustering via Weak Balance Theory	Code
2024	TKDD	Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder	Code
2023	MM	Reinforcement Graph Clustering with Unknown Cluster Number	Code
2020	TPAMI	Comparing Graph Clusterings: Set Partition Measures vs. Graph-Aware Measures	—
2014	TKDD	GBAGC: A General Bayesian Framework for Attributed Graph Clustering	—
2012	SIGMOD	A Model-based Approach to Attributed Graph Clustering	Code
2011	TKDD	Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities	Code

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Application Papers

Papers applying graph clustering techniques to downstream real-world tasks, organized by application domain.

Fraud Detection and Anomaly Detection

Year	Venue	Title	Code
2026	ICLR	Escaping the Homophily Trap: A Threshold-free Graph Outlier Detection Framework via Clustering-guided Edge Reweighting	—
2025	WWW	Cluster Aware Graph Anomaly Detection	Code
2025	KDD	Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery	Code

Recommendation Systems

Year	Venue	Title	Code
2025	WWW	GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems	Code
2024	NeurIPS	End-to-end Learnable Clustering for Intent Learning in Recommendation	Code

Graph Condensation and Distillation

Year	Venue	Title	Code
2026	TKDE	DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation	Code
2025	KDD	Simple yet Effective Graph Distillation via Clustering	Code

Bioinformatics and Medical Science

Year	Venue	Title	Code
2026	TPAMI	Graph-Embedded Deep Generative Clustering for Single-Cell Multi-Omics Data Integration	Code
2025	NeurIPS	DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases	Code
2025	ICML	GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation	Code

Natural Language Processing

Year	Venue	Title	Code
2026	KDD	Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning	Code
2025	CIKM	Cequel: Cost-Effective Querying of Large Language Models for Text Clustering	Code

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ECO Taxonomy Quick Reference

The following table summarizes representative methods under the Encode-Cluster-Optimize framework proposed in the survey. For each method, we list the encoder type, cluster projector, coordination pattern, and dominant complexity.

Method	Venue	Encoder (E)	Cluster (C)	Coordinate (O)	Complexity
NP & Decoupled
AGC	IJCAI'19	Simple Filtering	Spectral	Decoupled	O(N²)
SSGC	ICLR'21	Multi-Filtering	K-Means	Decoupled	O(N+M)
FGC	SDM'22	Multi-Filtering	Spectral	Decoupled	O(N²)
GRACE	TKDD'22	Simple Filtering	K-Means	Decoupled	O(N+M)
NAFS	ICML'22	Multi-Filtering	K-Means	Decoupled	O(N+M)
SAGSC	AAAI'23	Subspace-Oriented	Subspace	Decoupled	O(N+M)
IAGC	TKDE'23	Simple Filtering	Spectral	Decoupled	O(N²)
SASE	CIKM'24	Simple Filtering	Spectral	Decoupled	O(N+M)
S2CAG	KDD'25	Subspace-Oriented	Subspace	Decoupled	O(N+M)
MS2CAG	KDD'25	Subspace-Oriented	Subspace	Decoupled	O(N+M)
CMV-ND	ICML'25	Multi-Filtering	K-Means	Decoupled	O(N+M)
Deep Decoupled
GAE	NeurIPS-W'16	GCN	K-Means	Decoupled	O(N²)
ARGA	IJCAI'18	GCN	K-Means	Decoupled	O(N²)
DGI	ICLR'19	GCN	K-Means	Decoupled	O(N+M)
MVGRL	ICML'20	GCN	K-Means	Decoupled	O(N+M)
CCA-SSG	NeurIPS'21	GCN	K-Means	Decoupled	O(N+M)
BGRL	ICLR'22	GCN	K-Means	Decoupled	O(N+M)
DCRN	AAAI'22	Mixed GNN	K-Means	Decoupled	O(N²)
S3GC	NeurIPS'22	GCN	K-Means	Decoupled	O(N²)
DGCN	ICML'23	Mixed GNN	K-Means	Decoupled	O(N+M)
NS4GC	TKDE'24	GCN	K-Means	Decoupled	O(N²)
MAGI	KDD'24	GCN/SAGE	K-Means	Decoupled	O(N²)
NeuCGC	TKDE'25	GCN	K-Means	Decoupled	O(N²)
CoCo	ICLR'26	Mixed GNN	K-Means	Decoupled	O(N+M)
Deep Joint
DAEGC	IJCAI'19	GAT	Prototype	Joint	O(N²)
SDCN	WWW'20	GCN+AE	Prototype	Joint	O(N²)
MinCut	ICML'20	GCN	Softmax	Joint	O(N+M)
RGAE	TKDE'22	GCN	Prototype	Joint	O(N²)
DMoN	JMLR'23	GCN	Softmax	Joint	O(N+M)
DinkNet	ICML'23	GCN	Prototype	Joint	O(N+M)
DGCluster	AAAI'24	GCN	Softmax	Joint	O(N+M)
Neuromap	NeurIPS'24	GCN	Softmax	Joint	O(N+M)
LSEnet	ICML'24	Lorentz GCN	Softmax (Tree)	Joint	O(N²)
GCSBM	LoG'25	GCN	Softmax	Joint	O(N+M)
DeSE	KDD'25	GCN	Softmax	Joint	O(N²)
FVD	TPAMI'25	GCN+VAE	Prototype	Joint	O(N²)
ASIL	TPAMI'26	Lorentz GCN	Softmax (Tree)	Joint	O(N²)
Hybrid Coord.
CLEAR	TIST'23	GCN	K-Means	Hybrid	O(N+M)
HoLe	CIKM'23	GCN	K-Means	Hybrid	O(N²)
HSAN	AAAI'23	GCN	K-Means	Hybrid	O(N²)
CCGC	AAAI'23	GCN	K-Means	Hybrid	O(N²)
RGC	MM'23	GCN	K-Means	Hybrid	O(N²)
CARL-G	KDD'23	GCN	Softmax	Hybrid	O(N+M)
NeuroCUT	KDD'24	GNN	Softmax	Hybrid	O(N+M)
FastDGC	TKDD'24	GCN	K-Means	Hybrid	O(N²)
DGAC	WWW'25	Mixed GNN	K-Means	Hybrid	O(N²)
RAGC	NeurIPS'25	Mixed GNN	K-Means	Hybrid	O(N²)

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Community Resources

A collection of actively maintained repositories, benchmarks, and reading lists related to attributed graph clustering and deep graph clustering.

Resource	Description
PyAGC Reading List	Curated paper list accompanying the PyAGC benchmark, covering AGC methods, datasets, and applications
PyAGC	Production-ready benchmark library for attributed graph clustering with standardized implementations, mini-batch support, and industrial-scale evaluation
Awesome Deep Graph Clustering	Comprehensive collection of deep graph clustering papers, codes, and datasets, accompanying this survey
PyDGC	Open-source Python library for deep graph clustering, accompanying the DGCBench benchmark with unified training and evaluation paradigms
BenchTGC	Benchmark repository for temporal graph clustering with curated datasets and standardized evaluation frameworks

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Citation

If you find this list useful, please consider citing our survey and benchmark papers:

@article{liu2026beyond,
  title={Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering},
  author={Yunhui Liu and Yue Liu and Yongchao Liu and Tao Zheng and Stan Z. Li and Xinwang Liu and Tieke He},
  year={2026},
  eprint={2603.20829},
  archivePrefix={arXiv},
  primaryClass={cs.LG}
}

@article{liu2026bridging,
  title={Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering},
  author={Yunhui Liu and Pengyu Qiu and Yu Xing and Yongchao Liu and Peng Du and Chuntao Hong and Jiajun Zheng and Tao Zheng and Tieke He},
  year={2026},
  eprint={2602.08519},
  archivePrefix={arXiv},
  primaryClass={cs.LG}
}