9 citations · 9 across the 3 of their papers we have counts for
3 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.LG2024★ 9 cited
Less is More: on the Over-Globalizing Problem in Graph Transformers
Yujie Xing, Xiao Wang, Yibo Li +2
Graph Transformer, due to its global attention mechanism, has emerged as a new tool in dealing with graph-structured data. It is well recognized that the global attention mechanism…
cs.SI2016
Expenditure Aware Rating Prediction for Recommendation
Chuan Shi, Bowei He, Menghao Zhang +2
The rating score prediction is widely studied in recommender system, which predicts the rating scores of users on items through making use of the user-item interaction information.…