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# Project
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# Graphormer
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> This repo has been populated by an initial template to help get you started. Please
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> make sure to update the content to build a great experience for community-building.
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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/).
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As the maintainer of this project, please make a few updates:
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This repo is the official implementation of ["Do Transformers Really Perform Bad for Graph Representation?"](https://arxiv.org/abs/2106.05234).
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## Updates
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***06/10/2021***
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Initial commits:
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1. License files and example code.
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## Introduction
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**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.
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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.
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## Main Results
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## Citing Graphormer
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```
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@article{ying2021transformers,
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title={Do Transformers Really Perform Bad for Graph Representation?},
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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},
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journal={arXiv preprint arXiv:2106.05234},
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year={2021}
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}
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```
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## Getting Started
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- Improving this README.MD file to provide a great experience
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- Updating SUPPORT.MD with content about this project's support experience
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- Understanding the security reporting process in SECURITY.MD
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- Remove this section from the README
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## Contributing
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