Popular GitHub Repositories for Graphsage

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).

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

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

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

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

B站GNN教程资料

Representation learning on large graphs using stochastic graph convolutions.

GraphSAGE and GAT for link prediction.

A PyTorch implementation of of E-GraphSAGE.

Gradient gating (ICLR 2023)

My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)

PyTorch implementation of GraphSAGE.

PyTorch implementation of GNN models

Fraud Detection using various GNN models

A Nextflow pipeline demonstrating how to train graph neural networks for gene regulatory network reconstruction using DREAM5 data.

Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.

This repo contains scripts to crawl, analyze and model wikipedia user vandalism patterns.

This repository contains the code and results of my Machine Learning on Graphs course project, where I applied various community detection methods to the OGBN-ArXiv dataset.

This repo contains Pytorch-Lightning implementations of GCN and GraphSAGE for Node Classification and Link Prediction (as a way for Recommendation System) on the Cora dataset and CUHKSZ-AG dataset.