Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"
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Updated
Mar 17, 2020 - Python
Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"
Codebase for paper: "Improving GCN with Transformer layer in social-based items recommendation"
Implementation of Power Law Graph Transformer for Machine Translation and Representation Learning.
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
2021 AAAI Modular Graph Transformer Networks for Multi-Label Image Classification; Official GitHub: https://github.com/ReML-AI/MGTN
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Implementation of "Pre-training Graph Transformer with Multimodal Side Information for Recommendation"
This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation
Code for our paper "Attending to Graph Transformers"
Official Pytorch code for Structure-Aware Transformer.
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
Video Graph Transformer for Video Question Answering (ECCV'22)
KDD-23 Automated 3D Pre-Training for Molecular Property Prediction
Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
SignNet and BasisNet
Code for VN-Solver: Vision-based Neural Solver for Combinatorial Optimization over Graphs
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