Here are
18 public repositories
matching this topic...
A distributed graph deep learning framework.
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Updated
May 31, 2020
Python
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
Updated
Apr 8, 2019
Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Updated
May 31, 2020
Python
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Updated
Jan 28, 2020
Python
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Updated
May 31, 2020
Python
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Updated
May 31, 2020
Python
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Updated
Jun 9, 2020
Python
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Updated
Aug 17, 2020
Python
Representation learning on large graphs using stochastic graph convolutions.
Updated
May 8, 2018
Python
GraphSAGE and GAT for link prediction.
Updated
Sep 11, 2019
Jupyter Notebook
PyTorch implementation of GraphSAGE.
Updated
Sep 29, 2019
Python
This repo contains the experiments performed for link prediction, multi-class classification and pairwise node classification task.
Updated
Mar 31, 2020
Jupyter Notebook
Link Prediction with Graph Neural Networks and Knowledge Extraction
Updated
Jun 7, 2020
Python
Updated
Aug 5, 2020
Python
Updated
Sep 10, 2020
Jupyter Notebook
pytorch version of graphsage
Updated
Jan 3, 2020
Python
This repo contains scripts to crawl, analyze and model wikipedia user vandalism patterns.
Updated
Jun 24, 2020
Python
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