gnn

Must-read papers on graph neural networks (GNN)

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

《深入浅出图神经网络：GNN原理解析》配套代码

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

An Industrial Graph Neural Network Framework

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Programmable CUDA/C++ GPU Graph Analytics

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

An index of recommendation algorithms that are based on Graph Neural Networks.

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

A repository of pretty cool datasets that I collected for network science and machine learning research.

Code and resources on scalable and efficient Graph Neural Networks

图神经网络整理

A PyTorch Graph Neural Network Library

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

🍇 A C++ library for parallel graph processing (GRAPE) 🍇

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

PyTorch implementation of Graph Matching Networks for Learning the Similarity of Graph Structured Objects (ICML 2019).

The PyTorch version of STGCN.