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Philip S. Yu

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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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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