A distributed graph deep learning framework.
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.
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
Reimplement empirical study on deep learning-based vulnerability detection techniques using real-world datasets (Devign and Chrome+Debian). Includes tools for parsing, slicing, and analyzing C code with GGNN and ReVeal pipelines.
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