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pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models



Zitao Liu , Qiongqiong Liu , Jiahao Chen , Shuyan Huang , Jiliang Tang , Weiqi Luo


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Condensing Graphs via One-Step Gradient Matching



Wei Jin , Xianfeng Tang , Haoming Jiang , Zheng Li , Danqing Zhang , Jiliang Tang , Bin Ying

* 11 pages, KDD2022 

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Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective



Wei Jin , Xiaorui Liu , Yao Ma , Charu Aggarwal , Jiliang Tang

* Accepted by KDD 2022 

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Alternately Optimized Graph Neural Networks



Haoyu Han , Xiaorui Liu , Torkamani Ali , Feng Shi , Victor Lee , Jiliang Tang


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Defense Against Gradient Leakage Attacks via Learning to Obscure Data



Yuxuan Wan , Han Xu , Xiaorui Liu , Jie Ren , Wenqi Fan , Jiliang Tang

* 13 pages, 2 figures 

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Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?



Juanhui Li , Harry Shomer , Jiayuan Ding , Yiqi Wang , Yao Ma , Neil Shah , Jiliang Tang , Dawei Yin


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Enhancing Adversarial Training with Feature Separability



Yaxin Li , Xiaorui Liu , Han Xu , Wentao Wang , Jiliang Tang

* 10 pages 

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A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability



Enyan Dai , Tianxiang Zhao , Huaisheng Zhu , Junjie Xu , Zhimeng Guo , Hui Liu , Jiliang Tang , Suhang Wang


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Graph Enhanced BERT for Query Understanding



Juanhui Li , Yao Ma , Wei Zeng , Suqi Cheng , Jiliang Tang , Shuaiqiang Wang , Dawei Yin


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Graph Neural Networks for Multimodal Single-Cell Data Integration



Hongzhi Wen , Jiayuan Ding , Wei Jin , Yuying Xie , Jiliang Tang

* Submitted to KDD 2022 Applied Data Science Track 

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