gnn

Must-read papers on graph neural networks (GNN)

RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.

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

Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis

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

An Industrial Graph Neural Network Framework

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

Programmable CUDA/C++ GPU Graph Analytics

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

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

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

The PyTorch implementation of STGCN.

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

图神经网络整理

Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

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

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

tsl: a PyTorch library for processing spatiotemporal data.