• Intelligent code reviews using deep learning
• Learning to Represent Programs with Graphs
• code2seq: Generating Sequences from Structured Representations of Code
• Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces
• Relational inductive biases, deep learning, and graph networks
• Deep Learning Type Inference
• Mining Change Histories for Unknown Systematic Edits
• Improving Automatic Source Code Summarization via Deep Reinforcement Learning
• A general reinforcement learning algorithm that masters chess, shogi and Go through self-play
• Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities
• Structured Neural Summarization
• The Adverse Effects of Code Duplication in Machine Learning Models of Code
• Generative Code Modeling with Graphs
• How Powerful are Graph Neural Networks?
• A Comprehensive Survey on Graph Neural Networks
• Neural Networks for Modeling Source Code Edits
• Coloring Big Graphs with AlphaGoZero
• Cross-language clone detection by learning over abstract syntax trees
• Import2vec Learning Embeddings for Software Libraries
• XLNet: Generalized Autoregressive Pretraining for Language Understanding
• Aroma: Code Recommendation via Structural Code Search
• Attention Is All You Need
• Topology Adaptive Graph Convolutional Networks
• End-to-end Deep Learning of Optimization Heuristics
• The Software Heritage Graph Dataset: Public software development under one roof
• Assessing the Generalizability of code2vec Token Embeddings
• CodeSearchNet Challenge: Evaluating the State of Semantic Code Search