A distributed graph deep learning framework.
-
Updated
Aug 19, 2023 - C++
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
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
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.
Add a description, image, and links to the ggnn topic page so that developers can more easily learn about it.
To associate your repository with the ggnn topic, visit your repo's landing page and select "manage topics."