Transformer-M

A library for graph deep learning research

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Papers about graph transformers.

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Deep and conventional community detection related papers, implementations, datasets, and tools.

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

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

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

Official Pytorch code for Structure-Aware Transformer.