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# Project
# Graphormer
> This repo has been populated by an initial template to help get you started. Please
> make sure to update the content to build a great experience for community-building.
By [Chengxuan Ying](https://github.com/chengxuanying/), [Tianle Cai](https://tianle.website/), [Shengjie Luo](https://github.com/lsj2408), [Shuxin Zheng](https://www.microsoft.com/en-us/research/people/shuz/)\*, [Guolin Ke](https://github.com/guolinke), [Di He](https://www.microsoft.com/en-us/research/people/dihe/), [Yanming Shen](https://dblp.org/pid/51/3800.html) and [Tie-Yan Liu](https://www.microsoft.com/en-us/research/people/tyliu/).
As the maintainer of this project, please make a few updates:
This repo is the official implementation of ["Do Transformers Really Perform Bad for Graph Representation?"](https://arxiv.org/abs/2106.05234).
## Updates
***06/10/2021***
Initial commits:
1. License files and example code.
## Introduction
**Graphormer** is initially described in [arxiv](https://arxiv.org/abs/2106.05234), 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.
## Main Results
## Citing Graphormer
```
@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}
}
```
## Getting Started
- Improving this README.MD file to provide a great experience
- Updating SUPPORT.MD with content about this project's support experience
- Understanding the security reporting process in SECURITY.MD
- Remove this section from the README
## Contributing