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

Recipe for a General, Powerful, Scalable Graph Transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.

Official Pytorch code for Structure-Aware Transformer.

[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)

Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

Repository for CARTE: Context-Aware Representation of Table Entries

Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)

SignNet and BasisNet

[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

Code for our paper "Attending to Graph Transformers"

[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"

[TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.

Video Graph Transformer for Video Question Answering (ECCV'22)

Relational Graph Transformer

Triplet Graph Transformer