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XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation


Sep 08, 2022
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin

* Extension of our SIGIR'22 paper "Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation", submitted to TKDE 

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ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences


Jul 28, 2022
Mubashir Imran, Hongzhi Yin, Tong Chen, Nguyen Quoc Viet Hung, Alexander Zhou, Kai Zheng


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Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution


Jul 01, 2022
Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen


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Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation


Jun 16, 2022
Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin

* 14 pages, 5 figures 

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Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation


Jun 16, 2022
Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin

* 15 pages, 6 figures 

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Spatial-Temporal Meta-path Guided Explainable Crime Prediction


May 04, 2022
Yuting Sun, Tong Chen, Hongzhi Yin

* submitted to Information Fusion 

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Thinking inside The Box: Learning Hypercube Representations for Group Recommendation


Apr 06, 2022
Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang

* To appear in SIGIR'22 

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Decentralized Collaborative Learning Framework for Next POI Recommendation


Mar 30, 2022
Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Hongzhi Yin

* 21 Pages, 3 figures, 4 tables 

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Self-Supervised Learning for Recommender Systems: A Survey


Mar 29, 2022
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang

* 20pages. Submitted to TKDE 

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Unified Question Generation with Continual Lifelong Learning


Jan 24, 2022
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui

* Paper accepted in The Web Conference (WWW) 2022 

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