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Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective


Jun 15, 2022
Wei Jin, Xiaorui Liu, Yao Ma, Charu Aggarwal, Jiliang Tang

* Accepted by KDD 2022 

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Alternately Optimized Graph Neural Networks


Jun 08, 2022
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


Jun 01, 2022
Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang

* 13 pages, 2 figures 

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Enhancing Adversarial Training with Feature Separability


May 02, 2022
Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang

* 10 pages 

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Decentralized Composite Optimization with Compression


Aug 12, 2021
Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan


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Graph Trend Networks for Recommendations


Aug 12, 2021
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li


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Jointly Attacking Graph Neural Network and its Explanations


Aug 07, 2021
Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu Aggarwal


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Trustworthy AI: A Computational Perspective


Aug 02, 2021
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

* 55 pages 

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Imbalanced Adversarial Training with Reweighting


Jul 28, 2021
Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang


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