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KGNN: Distributed Framework for Graph Neural Knowledge Representation


May 17, 2022
Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi


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Data-Free Adversarial Knowledge Distillation for Graph Neural Networks


May 08, 2022
Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun

* Accepted by IJCAI 2022. arXiv admin note: text overlap with arXiv:2011.14779, arXiv:1912.11006 by other authors 

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An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022


Mar 01, 2022
Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi

* 4 pages, the first place of WSDM Cup 2022 (Temporal Link Prediction) 

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Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network


Feb 18, 2022
Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi


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Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift


Jan 27, 2022
Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou

* Accepted to the ACM Web Conference (WWW)2022. Work done during internship at Ant Group 

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Debiased Graph Neural Networks with Agnostic Label Selection Bias


Jan 25, 2022
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang

* Accepted by TNNLS;12 pages 

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Compact Graph Structure Learning via Mutual Information Compression


Jan 14, 2022
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi

* This paper has been accepted by TheWebConf 2022 

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Generalizing Graph Neural Networks on Out-Of-Distribution Graphs


Nov 23, 2021
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang

* Under review 

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