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A distributed graph deep learning framework.
Created
2019-01-10
8 commits to master branch, last one 3 years ago
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Created
2019-06-17
144 commits to master branch, last one about a year ago
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Created
2019-08-17
8 commits to master branch, last one about a year ago
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Created
2019-01-18
118 commits to master branch, last one about a year ago
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
Created
2018-01-30
14 commits to master branch, last one 5 years ago
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Created
2019-02-04
613 commits to master branch, last one about a year ago
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Created
2018-12-07
135 commits to master branch, last one about a year ago
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Created
2018-12-28
95 commits to master branch, last one about a year ago
GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
Created
2020-12-02
125 commits to main branch, last one 3 years ago
B站GNN教程资料
Created
2024-01-14
35 commits to main branch, last one about a month ago
Gradient gating (ICLR 2023)
Created
2022-10-03
16 commits to main branch, last one about a year ago
Senior Capstone Project: Graph-Based Product Recommendation
Created
2021-01-19
104 commits to main branch, last one 3 years ago
An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGraph Database and DGL.
Created
2022-08-01
17 commits to main branch, last one about a year ago