A distributed graph deep learning framework.

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

PyTorch implementation for Graph Gated Neural Network (for Knowledge Graphs)

Tensorflow implementation of Gated Graph Neural Network for Source Code Classification

Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop

Reconstructed GRU, used to process the graph sequence.

Visual Studio Code extension for fAST

repository miner that extracts modified Java source code files of specific commits. It involves converting source code into a graph representation that can be used to train Gated Graph Neural Networks (GGNNs) to perform various machine learning tasks such as predicting the name of a variable given its usage.

ICSE 2019 Demo

基于GGNN及文本信息的代码推荐

Code recommendation models based on GGNN implemented in PyTorch and Tensorflow 1.0, which can generate API or token predictions for incomplete code snippets.

Reimplement gated graph neural network in NNabla