Reimplement gated graph neural network in NNabla
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Updated
Apr 30, 2018 - Python
Reimplement gated graph neural network in NNabla
Visual Studio Code extension for fAST
Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
Tensorflow implementation of Gated Graph Neural Network for Source Code Classification
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.
PyTorch implementation for Graph Gated Neural Network (for Knowledge Graphs)
Reconstructed GRU, used to process the graph sequence.
A distributed graph deep learning framework.
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.
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