gnn

Must-read papers on graph neural networks (GNN)

#计算机科学#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

#计算机科学#TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

An Industrial Graph Neural Network Framework

#计算机科学#A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

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

#算法刷题#Programmable CUDA/C++ GPU Graph Analytics

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

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

#计算机科学#A repository of pretty cool datasets that I collected for network science and machine learning research.

The PyTorch implementation of STGCN.

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) 🍇

#计算机科学#A PyTorch Graph Neural Network Library

#计算机科学#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).

#计算机科学#tsl: a PyTorch library for processing spatiotemporal data.

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