litgnn

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ???

PyTorch implementation of Pointnet2/Pointnet++

An Industrial Graph Neural Network Framework

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

Flexible components pairing ? Transformers with :zap: Pytorch Lightning

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

A PyTorch Graph Neural Network Library

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).

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

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