Awesome-Graph
Survey
- A Comprehensive Survey on Graph Neural Networks
Basic papers
- Graph Attention Networks(GAT)
- Inductive Representation Learning on Large Graphs(GraphSage)
- Semi-Supervised Classification with Graph Convolutional Networks(GCN)
- Simplifying Graph Convolutional Networks
- Self-Attention Graph Pooling
- GMNN: Graph Markov Neural Networks
- (AAAI2018) Deeper Insights into Graph Convolutional Networks
- (KDD2019) Heterogeneous Graph Neural Network
- (WWW2019) Heterogeneous Graph Attention Network
Recommender System
- see repo Awesome-Recommender-System
Prediction
- (WWW2020)Traffic Flow Prediction via Spatial Temporal Graph Neural Network
- T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
NLP
- Graph Convolutional Networks for Text Classification
- Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification
- (EMNLP2017)Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
- (CIKM2018)Multiresolution Graph Attention Networks for Relevance Matching
- (EMNLP2019) Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification
- (CIKM2019) Spam Review Detection with Graph Convolutional Networks
- (AAAI2019)Personalized Question Routing via Heterogeneous Network Embedding
- (AAAI2020)Tensor Graph Convolutional Networks for Text Classification
- (ACL2020)Heterogeneous Graph Neural Networks for Extractive Document Summarization
- (WWW2018)Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification
- (ACL2020)GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
- (ACL2020)Relational Graph Attention Network for Aspect-based Sentiment Analysis