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Philip S. Yu

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Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees

Sep 04, 2022
Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu

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A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning

Aug 30, 2022
Li Sun, Junda Ye, Hao Peng, Philip S. Yu

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A Generic Algorithm for Top-K On-Shelf Utility Mining

Aug 27, 2022
Jiahui Chen, Xu Guo, Wensheng Gan, Shichen Wan, Philip S. Yu

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Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing

Aug 17, 2022
Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu

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Automating DBSCAN via Deep Reinforcement Learning

Aug 09, 2022
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu

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Benchmarking Node Outlier Detection on Graphs

Jun 21, 2022
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu

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Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus

Jun 15, 2022
Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R Hancock

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Towards Target Sequential Rules

Jun 09, 2022
Wensheng Gan, Gengsen Huang, Jian Weng, Tianlong Gu, Philip S. Yu

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Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination

Jun 03, 2022
Yizhen Zheng, Shirui Pan, Vincent Cs Lee, Yu Zheng, Philip S. Yu

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A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference

May 31, 2022
Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu

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