62 citations · 122 across the 5 of their papers we have counts for
5 papers
Dual Space Graph Contrastive Learning
Haoran Yang, Hongxu Chen, Shirui Pan +3
Unsupervised graph representation learning has emerged as a powerful tool to address real-world problems and achieves huge success in the graph learning domain. Graph contrastive l…
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Yicong Li, Hongxu Chen, Yile Li +3
Recent advances in path-based explainable recommendation systems have attracted increasing attention thanks to the rich information provided by knowledge graphs. Most existing expl…
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
Haoran Yang, Hongxu Chen, Lin Li +2
User purchasing prediction with multi-behavior information remains a challenging problem for current recommendation systems. Various methods have been proposed to address it via le…
Hyperbolic Hypergraphs for Sequential Recommendation
Yicong Li, Hongxu Chen, Xiangguo Sun +5
Hypergraphs have been becoming a popular choice to model complex, non-pairwise, and higher-order interactions for recommender system. However, compared with traditional graph-based…
Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation
Peipei Wang, Lin Li, Yi Yu +1
Frequent group activities of human beings have become an indispensable part in their daily life. Group recommendation can recommend satisfactory activities to group members in the…