Timezone: »
The Transformer architecture has become a dominant choice in many domains, such as natural language processing and computer vision. Yet, it has not achieved competitive performance on popular leaderboards of graph-level prediction compared to mainstream GNN variants. Therefore, it remains a mystery how Transformers could perform well for graph representation learning. In this paper, we solve this mystery by presenting Graphormer, which is built upon the standard Transformer architecture, and could attain excellent results on a broad range of graph representation learning tasks, especially on the recent OGB Large-Scale Challenge. Our key insight to utilizing Transformer in the graph is the necessity of effectively encoding the structural information of a graph into the model. To this end, we propose several simple yet effective structural encoding methods to help Graphormer better model graph-structured data. Besides, we mathematically characterize the expressive power of Graphormer and exhibit that with our ways of encoding the structural information of graphs, many popular GNN variants could be covered as the special cases of Graphormer. The code and models of Graphormer will be made publicly available at \url{https://github.com/Microsoft/Graphormer}.
Author Information
Chengxuan Ying (Tencent)
Tianle Cai (Princeton University)
Shengjie Luo (Peking University)
Shuxin Zheng (Microsoft)
Guolin Ke (Microsoft Research)
Di He (Peking University)
Yanming Shen (Dalian University of Technology)
Tie-Yan Liu (Microsoft Research Asia)
More from the Same Authors
-
2022 Poster: Quantized Training of Gradient Boosting Decision Trees »
Yu Shi · Guolin Ke · Zhuoming Chen · Shuxin Zheng · Tie-Yan Liu -
2022 Poster: An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context »
Xiaoyu Chen · Xiangming Zhu · Yufeng Zheng · Pushi Zhang · Li Zhao · Wenxue Cheng · Peng CHENG · Yongqiang Xiong · Tao Qin · Jianyu Chen · Tie-Yan Liu -
2022 Poster: Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret »
Jiawei Huang · Li Zhao · Tao Qin · Wei Chen · Nan Jiang · Tie-Yan Liu -
2023 Poster: FABind: Fast and Accurate Protein-Ligand Binding »
Qizhi Pei · Kaiyuan Gao · Lijun Wu · Jinhua Zhu · Yingce Xia · Shufang Xie · Tao Qin · Kun He · Tie-Yan Liu · Rui Yan -
2023 Poster: Geometric Transformer with Interatomic Positional Encoding »
Yusong Wang · Shaoning Li · Tong Wang · Bin Shao · Nanning Zheng · Tie-Yan Liu -
2022 Spotlight: Lightning Talks 6B-4 »
Junjie Chen · Chuanxia Zheng · JINLONG LI · Yu Shi · Shichao Kan · Yu Wang · Fermín Travi · Ninh Pham · Lei Chai · Guobing Gan · Tung-Long Vuong · Gonzalo Ruarte · Tao Liu · Li Niu · Jingjing Zou · Zequn Jie · Peng Zhang · Ming LI · Yixiong Liang · Guolin Ke · Jianfei Cai · Gaston Bujia · Sunzhu Li · Siyuan Zhou · Jingyang Lin · Xu Wang · Min Li · Zhuoming Chen · Qing Ling · Xiaolin Wei · Xiuqing Lu · Shuxin Zheng · Dinh Phung · Yigang Cen · Jianlou Si · Juan Esteban Kamienkowski · Jianxin Wang · Chen Qian · Lin Ma · Benyou Wang · Yingwei Pan · Tie-Yan Liu · Liqing Zhang · Zhihai He · Ting Yao · Tao Mei -
2022 Spotlight: Lightning Talks 6A-2 »
Yichuan Mo · Botao Yu · Gang Li · Zezhong Xu · Haoran Wei · Arsene Fansi Tchango · Raef Bassily · Haoyu Lu · Qi Zhang · Songming Liu · Mingyu Ding · Peiling Lu · Yifei Wang · Xiang Li · Dongxian Wu · Ping Guo · Wen Zhang · Hao Zhongkai · Mehryar Mohri · Rishab Goel · Yisen Wang · Yifei Wang · Yangguang Zhu · Zhi Wen · Ananda Theertha Suresh · Chengyang Ying · Yujie Wang · Peng Ye · Rui Wang · Nanyi Fei · Hui Chen · Yiwen Guo · Wei Hu · Chenglong Liu · Julien Martel · Yuqi Huo · Wu Yichao · Hang Su · Yisen Wang · Peng Wang · Huajun Chen · Xu Tan · Jun Zhu · Ding Liang · Zhiwu Lu · Joumana Ghosn · Shanshan Zhang · Wei Ye · Ze Cheng · Shikun Zhang · Tao Qin · Tie-Yan Liu -
2022 Spotlight: Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation »
Botao Yu · Peiling Lu · Rui Wang · Wei Hu · Xu Tan · Wei Ye · Shikun Zhang · Tao Qin · Tie-Yan Liu -
2022 Spotlight: Quantized Training of Gradient Boosting Decision Trees »
Yu Shi · Guolin Ke · Zhuoming Chen · Shuxin Zheng · Tie-Yan Liu -
2022 Spotlight: Lightning Talks 4B-4 »
Ziyue Jiang · Zeeshan Khan · Yuxiang Yang · Chenze Shao · Yichong Leng · Zehao Yu · Wenguan Wang · Xian Liu · Zehua Chen · Yang Feng · Qianyi Wu · James Liang · C.V. Jawahar · Junjie Yang · Zhe Su · Songyou Peng · Yufei Xu · Junliang Guo · Michael Niemeyer · Hang Zhou · Zhou Zhao · Makarand Tapaswi · Dongfang Liu · Qian Yang · Torsten Sattler · Yuanqi Du · Haohe Liu · Jing Zhang · Andreas Geiger · Yi Ren · Long Lan · Jiawei Chen · Wayne Wu · Dahua Lin · Dacheng Tao · Xu Tan · Jinglin Liu · Ziwei Liu · 振辉 叶 · Danilo Mandic · Lei He · Xiangyang Li · Tao Qin · sheng zhao · Tie-Yan Liu -
2022 Spotlight: Lightning Talks 4A-3 »
Zhihan Gao · Yabin Wang · Xingyu Qu · Luziwei Leng · Mingqing Xiao · Bohan Wang · Yu Shen · Zhiwu Huang · Xingjian Shi · Qi Meng · Yupeng Lu · Diyang Li · Qingyan Meng · Kaiwei Che · Yang Li · Hao Wang · Huishuai Zhang · Zongpeng Zhang · Kaixuan Zhang · Xiaopeng Hong · Xiaohan Zhao · Di He · Jianguo Zhang · Yaofeng Tu · Bin Gu · Yi Zhu · Ruoyu Sun · Yuyang (Bernie) Wang · Zhouchen Lin · Qinghu Meng · Wei Chen · Wentao Zhang · Bin CUI · Jie Cheng · Zhi-Ming Ma · Mu Li · Qinghai Guo · Dit-Yan Yeung · Tie-Yan Liu · Jianxing Liao -
2022 Spotlight: Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret »
Jiawei Huang · Li Zhao · Tao Qin · Wei Chen · Nan Jiang · Tie-Yan Liu -
2022 Spotlight: Does Momentum Change the Implicit Regularization on Separable Data? »
Bohan Wang · Qi Meng · Huishuai Zhang · Ruoyu Sun · Wei Chen · Zhi-Ming Ma · Tie-Yan Liu -
2022 Spotlight: BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis »
Yichong Leng · Zehua Chen · Junliang Guo · Haohe Liu · Jiawei Chen · Xu Tan · Danilo Mandic · Lei He · Xiangyang Li · Tao Qin · sheng zhao · Tie-Yan Liu -
2022 Spotlight: Lightning Talks 4A-1 »
Jiawei Huang · Su Jia · Abdurakhmon Sadiev · Ruomin Huang · Yuanyu Wan · Denizalp Goktas · Jiechao Guan · Andrew Li · Wei-Wei Tu · Li Zhao · Amy Greenwald · Jiawei Huang · Dmitry Kovalev · Yong Liu · Wenjie Liu · Peter Richtarik · Lijun Zhang · Zhiwu Lu · R Ravi · Tao Qin · Wei Chen · Hu Ding · Nan Jiang · Tie-Yan Liu -
2022 Poster: Does Momentum Change the Implicit Regularization on Separable Data? »
Bohan Wang · Qi Meng · Huishuai Zhang · Ruoyu Sun · Wei Chen · Zhi-Ming Ma · Tie-Yan Liu -
2022 Poster: Your Transformer May Not be as Powerful as You Expect »
Shengjie Luo · Shanda Li · Shuxin Zheng · Tie-Yan Liu · Liwei Wang · Di He -
2022 Poster: BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis »
Yichong Leng · Zehua Chen · Junliang Guo · Haohe Liu · Jiawei Chen · Xu Tan · Danilo Mandic · Lei He · Xiangyang Li · Tao Qin · sheng zhao · Tie-Yan Liu -
2022 Poster: Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation »
Botao Yu · Peiling Lu · Rui Wang · Wei Hu · Xu Tan · Wei Ye · Shikun Zhang · Tao Qin · Tie-Yan Liu -
2021 : AI X Science »
Tie-Yan Liu -
2021 Poster: On the Generative Utility of Cyclic Conditionals »
Chang Liu · Haoyue Tang · Tao Qin · Jintao Wang · Tie-Yan Liu -
2021 Poster: Curriculum Offline Imitating Learning »
Minghuan Liu · Hanye Zhao · Zhengyu Yang · Jian Shen · Weinan Zhang · Li Zhao · Tie-Yan Liu -
2021 Poster: Speech-T: Transducer for Text to Speech and Beyond »
Jiawei Chen · Xu Tan · Yichong Leng · Jin Xu · Guihua Wen · Tao Qin · Tie-Yan Liu -
2021 Poster: Stylized Dialogue Generation with Multi-Pass Dual Learning »
Jinpeng Li · Yingce Xia · Rui Yan · Hongda Sun · Dongyan Zhao · Tie-Yan Liu -
2021 Poster: Distributional Reinforcement Learning for Multi-Dimensional Reward Functions »
Pushi Zhang · Xiaoyu Chen · Li Zhao · Wei Xiong · Tao Qin · Tie-Yan Liu -
2021 Poster: Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD »
Bohan Wang · Huishuai Zhang · Jieyu Zhang · Qi Meng · Wei Chen · Tie-Yan Liu -
2021 Poster: Co-evolution Transformer for Protein Contact Prediction »
He Zhang · Fusong Ju · Jianwei Zhu · Liang He · Bin Shao · Nanning Zheng · Tie-Yan Liu -
2021 Poster: Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding »
Shengjie Luo · Shanda Li · Tianle Cai · Di He · Dinglan Peng · Shuxin Zheng · Guolin Ke · Liwei Wang · Tie-Yan Liu -
2021 Poster: Learning Causal Semantic Representation for Out-of-Distribution Prediction »
Chang Liu · Xinwei Sun · Jindong Wang · Haoyue Tang · Tao Li · Tao Qin · Wei Chen · Tie-Yan Liu -
2021 Poster: Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning »
Jongjin Park · Younggyo Seo · Chang Liu · Li Zhao · Tao Qin · Jinwoo Shin · Tie-Yan Liu -
2021 Poster: FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition »
Yichong Leng · Xu Tan · Linchen Zhu · Jin Xu · Renqian Luo · Linquan Liu · Tao Qin · Xiangyang Li · Edward Lin · Tie-Yan Liu -
2021 Poster: Towards a Theoretical Framework of Out-of-Distribution Generalization »
Haotian Ye · Chuanlong Xie · Tianle Cai · Ruichen Li · Zhenguo Li · Liwei Wang -
2021 Poster: R-Drop: Regularized Dropout for Neural Networks »
xiaobo liang · Lijun Wu · Juntao Li · Yue Wang · Qi Meng · Tao Qin · Wei Chen · Min Zhang · Tie-Yan Liu -
2021 Poster: Recovering Latent Causal Factor for Generalization to Distributional Shifts »
Xinwei Sun · Botong Wu · Xiangyu Zheng · Chang Liu · Wei Chen · Tao Qin · Tie-Yan Liu -
2020 Poster: Locally Differentially Private (Contextual) Bandits Learning »
Kai Zheng · Tianle Cai · Weiran Huang · Zhenguo Li · Liwei Wang -
2020 Poster: Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot »
Jingtong Su · Yihang Chen · Tianle Cai · Tianhao Wu · Ruiqi Gao · Liwei Wang · Jason Lee -
2019 Poster: Neural Machine Translation with Soft Prototype »
Yiren Wang · Yingce Xia · Fei Tian · Fei Gao · Tao Qin · Cheng Xiang Zhai · Tie-Yan Liu -
2019 Poster: Convergence of Adversarial Training in Overparametrized Neural Networks »
Ruiqi Gao · Tianle Cai · Haochuan Li · Cho-Jui Hsieh · Liwei Wang · Jason Lee -
2019 Spotlight: Convergence of Adversarial Training in Overparametrized Neural Networks »
Ruiqi Gao · Tianle Cai · Haochuan Li · Cho-Jui Hsieh · Liwei Wang · Jason Lee -
2019 Poster: FastSpeech: Fast, Robust and Controllable Text to Speech »
Yi Ren · Yangjun Ruan · Xu Tan · Tao Qin · Sheng Zhao · Zhou Zhao · Tie-Yan Liu -
2019 Poster: Normalization Helps Training of Quantized LSTM »
Lu Hou · Jinhua Zhu · James Kwok · Fei Gao · Tao Qin · Tie-Yan Liu -
2018 Poster: Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation »
Tianyu He · Xu Tan · Yingce Xia · Di He · Tao Qin · Zhibo Chen · Tie-Yan Liu -
2018 Poster: FRAGE: Frequency-Agnostic Word Representation »
Chengyue Gong · Di He · Xu Tan · Tao Qin · Liwei Wang · Tie-Yan Liu -
2017 Poster: Decoding with Value Networks for Neural Machine Translation »
Di He · Hanqing Lu · Yingce Xia · Tao Qin · Liwei Wang · Tie-Yan Liu -
2017 Poster: Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting »
Yue Wang · Wei Chen · Yuting Liu · Zhi-Ming Ma · Tie-Yan Liu -
2017 Poster: Deliberation Networks: Sequence Generation Beyond One-Pass Decoding »
Yingce Xia · Fei Tian · Lijun Wu · Jianxin Lin · Tao Qin · Nenghai Yu · Tie-Yan Liu -
2017 Poster: LightGBM: A Highly Efficient Gradient Boosting Decision Tree »
Guolin Ke · Qi Meng · Thomas Finley · Taifeng Wang · Wei Chen · Weidong Ma · Qiwei Ye · Tie-Yan Liu -
2016 Poster: A Communication-Efficient Parallel Algorithm for Decision Tree »
Qi Meng · Guolin Ke · Taifeng Wang · Wei Chen · Qiwei Ye · Zhi-Ming Ma · Tie-Yan Liu -
2016 Poster: Dual Learning for Machine Translation »
Di He · Yingce Xia · Tao Qin · Liwei Wang · Nenghai Yu · Tie-Yan Liu · Wei-Ying Ma -
2013 Poster: Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising »
Min Xu · Tao Qin · Tie-Yan Liu