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Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning
With the proliferation of social media, a growing number of users search for and join group activities in their daily life. This …
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
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Group-Aware Interest Disentangled Dual-Training for Personalized Recommendationn
Personalized recommender systems aim to predict users’ preferences for items. It has become an indispensable part of online services. …
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
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Multi-View Graph Convolution for Participant Recommendation
Social networks have become essential for people’s lives. The proliferation of web services further expands social networks at an …
Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu
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Graph-based Village Level Poverty Identification
Poverty status identification is the first obstacle to eradicating poverty. Village-level poverty identification is very challenging …
Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu
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DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation
Graph Neural Network (GNN) based recommender systems have been attracting more and more attention in recent years due to their …
Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
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Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph
Due to the proliferation of social media, a growing number of users search for and join group activities in their daily life. This …
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
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MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System
Knowledge graph (KG) enhanced recommendation has demonstrated improved performance in the recommendation system (RecSys) and attracted …
Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
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ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation
Aiming at exploiting the rich information in user behaviour sequences, sequential recommendation has been widely adopted in real-world …
Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
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Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network
Because of the large number of online games available nowadays, online game recommender systems are necessary for users and online game …
Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
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ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation
Social recommendation aims to fuse social links with user-iteminteractions to alleviate the cold-start problem for rating …
Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
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