By Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng*, Guolin Ke, Di He*, Yanming Shen and Tie-Yan Liu.
This repo is the official implementation of "Do Transformers Really Perform Bad for Graph Representation?".
06/10/2021
Initial commits:
- License files and example code.
Graphormer is initially described in arxiv, which is a standard Transformer architecture with several structural encodings, which could effectively encoding the structural information of a graph into the model.
Graphormer achieves strong performance on PCQM4M-LSC (0.1234 MAE on val), MolPCBA (31.39 AP(%) on test), MolHIV (80.51 AUC(%) on test) and ZINC (0.122 MAE on test), surpassing previous models by a large margin.
@article{ying2021transformers,
title={Do Transformers Really Perform Bad for Graph Representation?},
author={Ying, Chengxuan and Cai, Tianle and Luo, Shengjie and Zheng, Shuxin and Ke, Guolin and He, Di and Shen, Yanming and Liu, Tie-Yan},
journal={arXiv preprint arXiv:2106.05234},
year={2021}
}
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