Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
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Updated
Jul 27, 2021 - Python
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Recipe for a General, Powerful, Scalable Graph Transformer
Papers about graph transformers.
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"
Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Official Pytorch code for Structure-Aware Transformer.
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
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)
SignNet and BasisNet
Code for our paper "Attending to Graph Transformers"
Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
Video Graph Transformer for Video Question Answering (ECCV'22)
2021 AAAI Modular Graph Transformer Networks for Multi-Label Image Classification; Official GitHub: https://github.com/ReML-AI/MGTN
An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification) - IJCAI 2021
This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)
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