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GraphMAE: Self-Supervised Masked Graph Autoencoders



Zhenyu Hou , Xiao Liu , Yukuo Cen , Yuxiao Dong , Hongxia Yang , Chunjie Wang , Jie Tang

* 11 pages; Accepted to KDD'22 

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IDPG: An Instance-Dependent Prompt Generation Method



Zhuofeng Wu , Sinong Wang , Jiatao Gu , Rui Hou , Yuxiao Dong , V. G. Vinod Vydiswaran , Hao Ma

* To appear at the NAACL 2022 main conference 

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GRAND+: Scalable Graph Random Neural Networks



Wenzheng Feng , Yuxiao Dong , Tinglin Huang , Ziqi Yin , Xu Cheng , Evgeny Kharlamov , Jie Tang

* 11 pages, WWW 2022 

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SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs



Xiao Liu , Haoyun Hong , Xinghao Wang , Zeyi Chen , Evgeny Kharlamov , Yuxiao Dong , Jie Tang

* Proceedings of the Web Conference 2022 

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EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs



Namyong Park , Fuchen Liu , Purvanshi Mehta , Dana Cristofor , Christos Faloutsos , Yuxiao Dong

* WSDM 2022 

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Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks



Qingsong Lv , Ming Ding , Qiang Liu , Yuxiang Chen , Wenzheng Feng , Siming He , Chang Zhou , Jianguo Jiang , Yuxiao Dong , Jie Tang

* KDD 2021 research track 

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Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning



Qinkai Zheng , Xu Zou , Yuxiao Dong , Yukuo Cen , Da Yin , Jiarong Xu , Yang Yang , Jie Tang

* 21 pages, 12 figures, NeurIPS 2021 Datasets and Benchmarks Track 

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GCCAD: Graph Contrastive Coding for Anomaly Detection



Bo Chen , Jing Zhang , Xiaokang Zhang , Yuxiao Dong , Jian Song , Peng Zhang , Kaibo Xu , Evgeny Kharlamov , Jie Tang

* 14 pages, under review 

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A Self-supervised Method for Entity Alignment



Xiao Liu , Haoyun Hong , Xinghao Wang , Zeyi Chen , Evgeny Kharlamov , Yuxiao Dong , Jie Tang


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TDGIA:Effective Injection Attacks on Graph Neural Networks



Xu Zou , Qinkai Zheng , Yuxiao Dong , Xinyu Guan , Evgeny Kharlamov , Jialiang Lu , Jie Tang

* KDD 2021 research track paper 

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