A distributed graph deep learning framework.
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Tra...
Implementation and experiments of graph neural netwokrs, like gcn,graphs...
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph...
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GN...
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GC...
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2...
A PyTorch implementation of "Graph Classification Using Structural Atten...
Representation learning on large graphs using stochastic graph convoluti...
Graph Neural Networks
GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
Gradient gating (ICLR 2023)