• Wu et al 2019 - A Comprehensive Survey on Graph Neural Networks
• Liu & Zhou 2020 - Introduction to Graph Neural Networks
• Wu et al 2020 - A Comprehensive Survey on Graph Neural Networks
• Graph Neural Networks: A Review of Methods and Applications

See also Graph4NLP Bibliography.

• Graph Convolution Networks (GCN)
• Gating GCN
• Graph Attention Networks
  • Velickovi et al 2017 - Graph Attention Networks
• Graph2Seq
  • Xu et al 2018 - Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
• Applications
  • Li et al 2020 - Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem (Graph to tree neural network)
  • Bastings et al 2017 - Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
  • Bogin et al 2019 - Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
  • Bogin et al 2019 - Global Reasoning over Database Structures for Text-to-SQL Parsing
  • Zhong et al 2020 - LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
  • Cao et al 2018 - Question Answering by Reasoning Across Documents with Graph Convolutional Networks
  • Tu et al 2019 - Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs]
  • Chen et al 2019 - GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension

• Graph4NLP (uses DGL as the runtime library)
• DGL - Deep Graph Library

• Deep Learning on Graphs for Natural Language Processing @ NAACL 2021

• Ivan Titov
• Lingfei Wu

• Neural Network Architectures