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
• (AAAI2021)Graph-Based Tri-Attention Network for Answer Ranking in CQA