Publications in 2018
August 28, 2024 ยท View on GitHub
-------------------------------------------------------------------
NeurIPS 2018 (Dec)
- Link Prediction Based on Graph Neural Networks
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
- Adaptive Sampling Towards Fast Graph Representation Learning
- Mean-field theory of graph neural networks in graph partitioning
- Hierarchical Graph Representation Learning with Differentiable Pooling
- Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
- Learning Conditioned Graph Structures for Interpretable Visual Question Answering
- Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
- Beyond Grids: Learning Graph Representations for Visual Recognition
more
-------------------------------------------------------------------
ICDM 2018 (Nov)
- HHNE: Heterogeneous Hyper-Network Embedding
- Signed Graph Convolutional Network
- FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation
- Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
- A Low Rank Weighted Graph Convolutional Approach to Weather Prediction
- Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network
-------------------------------------------------------------------
EMNLP 2018 (Nov)
- RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
- AD3: Attentive Deep Document Dater
- Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
- One-Shot Relational Learning for Knowledge Graphs
- Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces
- Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
- Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
- Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
- A Unified Syntax-aware Framework for Semantic Role Labeling
- Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks
more
-------------------------------------------------------------------
CIKM 2018 (Oct)
- Semi-supervised Learning on Graphs with Generative Adversarial Nets
- Multiresolution Graph Attention Networks for Relevance Matching
- Heterogeneous Graph Neural Networks for Malicious Account Detection
- Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction
-------------------------------------------------------------------
ECCV 2018 (Sep)
- Graph R-CNN for Scene Graph Generation
- Exploring Visual Relationship for Image Captioning
- Learning Human-Object Interactions by Graph Parsing Neural Networks
- Efficient Relative Attribute Learning using Graph Neural Networks
- Local Spectral Graph Convolution for Point Set Feature Learning
- Person Re-identification with Deep Similarity-Guided Graph Neural Network
-------------------------------------------------------------------
UAI 2018 (Aug)
-------------------------------------------------------------------
KDD 2018 (Aug)
- Graph Convolutional Neural Networks for Web-Scale Recommender Systems
- Large-Scale Learnable Graph Convolutional Networks
- DeepInf: Modeling Influence Locality in Large Social Networks
- Adversarial Attacks on Neural Networks for Graph Data
- Deep Variational Network Embedding in Wasserstein Space
- Graph Classification using Structural Attention
-------------------------------------------------------------------
ICML 2018 (Jul)
- Representation Learning on Graphs with Jumping Knowledge Networks
- Stochastic Training of Graph Convolutional Networks
- Learning Steady-States of Iterative Algorithms over Graphs
- GraphRNN: A Deep Generative Model for Graphs
- Adversarial Attack on Graph Structured Data
- NetGAN: Generating Graphs via Random Walks
- Neural Relational Inference for Interacting Systems
- Graph Networks as Learnable Physics Engines for Inference and Control
-------------------------------------------------------------------
IJCAI 2018 (Jul)
- Commonsense Knowledge Aware Conversation Generation with Graph Attention
- Deep Reasoning with Knowledge Graph for Social Relationship Understanding
- Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition
- Adversarially Regularized Graph Autoencoder for Graph Embedding
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
- Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
- Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
-------------------------------------------------------------------
ACL 2018 (Jul)
- Dating Documents using Graph Convolution Networks
- Semi-supervised User Geolocation via Graph Convolutional Networks
- Graph-to-Sequence Learning using Gated Graph Neural Networks
- A Graph-to-Sequence Model for AMR-to-Text Generation
- Sentence-State LSTM for Text Representation
-------------------------------------------------------------------
CVPR 2018 (Jun)
- Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
- Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
- Zero-Shot Sketch-Image Hashing
- Image Generation from Scene Graphs
- SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
- Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams
- Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
-------------------------------------------------------------------
NAACL 2018 (Jun)
-------------------------------------------------------------------
ICLR 2018 (May)
- FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
- Few-Shot Learning with Graph Neural Networks
- Graph Attention Networks
- Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
- Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
- NerveNet: Learning Structured Policy with Graph Neural Networks
- Automatically Inferring Data Quality for Spatiotemporal Forecasting
- Learning to Represent Programs with Graphs
-------------------------------------------------------------------
ESWC 2018
-------------------------------------------------------------------
WWW 2018 (April)
- Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification
- Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN
-------------------------------------------------------------------
AAAI 2018 (Feb)
- Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
- RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding
- Graph Convolutional Networks with Argument-Aware Pooling for Event Detection
- An End-to-End Deep Learning Architecture for Graph Classification
- Adaptive Graph Convolutional Neural Networks
- Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
- Spatio Temporal Graph Convolution for Skeleton Based Action Recognition