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Provable Unrestricted Adversarial Training without Compromise with Generalizability


Jan 22, 2023
Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu

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Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation


Jan 10, 2023
Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu

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* IEEE Bigdata 2022 

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Self-organization Preserved Graph Structure Learning with Principle of Relevant Information


Dec 30, 2022
Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu

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* Accepted by AAAI 2023 

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HUSP-SP: Faster Utility Mining on Sequence Data


Dec 29, 2022
Chunkai Zhang, Yuting Yang, Zilin Du, Wensheng Gan, Philip S. Yu

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* ACM TKDD, 7 figures, 2 tables 

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Towards Sequence Utility Maximization under Utility Occupancy Measure


Dec 20, 2022
Gengsen Huang, Wensheng Gan, Philip S. Yu

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* Preprint. 7 figures, 8 tables 

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Localized Contrastive Learning on Graphs


Dec 08, 2022
Hengrui Zhang, Qitian Wu, Yu Wang, Shaofeng Zhang, Junchi Yan, Philip S. Yu

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Learning to Select from Multiple Options


Dec 01, 2022
Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu

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* Accepted by AAAI 2023 

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Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces


Nov 30, 2022
Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu

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* Accepted by AAAI 2023 (Main Track), 9 pages, 4 figures 

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DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation


Nov 27, 2022
Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang

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* 9 pages, WSDM 2023 

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