2 papers
cs.SI2025
Masked Language Models are Good Heterogeneous Graph Generalizers
Jinyu Yang, Cheng Yang, Shanyuan Cui +5
Heterogeneous graph neural networks (HGNNs) excel at capturing structural and semantic information in heterogeneous graphs (HGs), while struggling to generalize across domains and…
cs.IR2025
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation
Xi Wu, Dan Zhang, Chao Zhou +3
Recommender systems (RecSys) have become essential in modern society, driving user engagement and satisfaction across diverse online platforms. Most RecSys focuses on designing a p…