Popular GitHub Repositories for Graph Transformer

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

Papers about graph transformers.

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

Official Pytorch code for Structure-Aware Transformer.

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

[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"

Long Range Graph Benchmark, NeurIPS 2022 Track on D&B

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

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

Unified Clinical Vocabulary Embeddings for Advancing Precision Medicine

Official Pytorch implementation of NeuralWalker

Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and developed by NS Lab @ CUK based on pure PyTorch backend.

Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures

Graph Transformers for Large Graphs

Scalable and privacy-enhanced graph generative models for benchmark graph neural networks

BioGITOM: Matching Biomedical Ontologies with Graph Isomorphism Transformer

Implementation of "Pre-training Graph Transformer with Multimodal Side Information for Recommendation"

VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024