graphsage topic

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

benedekrozemberczki

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

benedekrozemberczki

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

benedekrozemberczki

Graph Neural Networks

Firyuza

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

kyzhouhzau

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

benedekrozemberczki

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

GraphSAINT

A distributed graph deep learning framework.

alibaba

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

matenure

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

shenweichen