1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.IR2025
PLACE: Prompt Learning for Attributed Community Search in Large Graphs
Shuheng Fang, Kangfei Zhao, Rener Zhang +2
In this paper, we propose PLACE (Prompt Learning for Attributed Community Search), an innovative graph prompt learning framework for ACS. Enlightened by prompt-tuning in Natural La…
cs.IR2024
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction
Shuheng Fang, Kangfei Zhao, Yu Rong +2
Cold-start rating prediction is a fundamental problem in recommender systems that has been extensively studied. Many methods have been proposed that exploit explicit relations amon…
cs.DB2022★ 1 cited
Community Search: A Meta-Learning Approach
Shuheng Fang, Kangfei Zhao, Guanghua Li +1
Community Search (CS) is one of the fundamental graph analysis tasks, which is a building block of various real applications. Given any query nodes, CS aims to find cohesive subgra…