111 citations · 801 across the 59 of their papers we have counts for
13 papers · 1 filter
Self-supervised Graph-based Point-of-interest Recommendation
Yang Li, Tong Chen, Peng-Fei Zhang +2
The exponential growth of Location-based Social Networks (LBSNs) has greatly stimulated the demand for precise location-based recommendation services. Next Point-of-Interest (POI)…
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Junliang Yu, Xin Xia, Tong Chen +3
Contrastive learning (CL) has recently been demonstrated critical in improving recommendation performance. The underlying principle of CL-based recommendation models is to ensure t…
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences
Mubashir Imran, Hongzhi Yin, Tong Chen +3
Owing to its nature of scalability and privacy by design, federated learning (FL) has received increasing interest in decentralized deep learning. FL has also facilitated recent re…
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Yu Yang, Hongzhi Yin, Jiannong Cao +4
Dynamic graphs refer to graphs whose structure dynamically changes over time. Despite the benefits of learning vertex representations (i.e., embeddings) for dynamic graphs, existin…
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation
Lei Guo, Jinyu Zhang, Tong Chen +2
Shared-account Cross-domain Sequential Recommendation (SCSR) is an emerging yet challenging task that simultaneously considers the shared-account and cross-domain characteristics i…
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation
Lei Guo, Jinyu Zhang, Li Tang +3
Shared-account Cross-domain Sequential Recommendation (SCSR) task aims to recommend the next item via leveraging the mixed user behaviors in multiple domains. It is gaining immense…