5 citations · 8 across the 5 of their papers we have counts for
5 papers
Bridging Graph Structure and Knowledge-Guided Editing for Interpretable Temporal Knowledge Graph Reasoning
Shiqi Fan, Quanming Yao, Hongyi Nie +3
Temporal knowledge graph reasoning (TKGR) aims to predict future events by inferring missing entities with dynamic knowledge structures. Existing LLM-based reasoning methods priori…
Distillation-based Scenario-Adaptive Mixture-of-Experts for the Matching Stage of Multi-scenario Recommendation
Ruibing Wang, Shuhan Guo, Haotong Du +1
Multi-scenario recommendation is pivotal for optimizing user experience across diverse contexts. While Multi-gate Mixture-of-Experts (MMOE) thrives in ranking, its transfer to the…
Evolutionary Discovery of Heuristic Policies for Traffic Signal Control
Ruibing Wang, Shuhan Guo, Zeen Li +2
Traffic Signal Control (TSC) involves a challenging trade-off: classic heuristics are efficient but oversimplified, while Deep Reinforcement Learning (DRL) achieves high performanc…
PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
Haotong Du, Yaqing Wang, Fei Xiong +5
With the expansion of business scales and scopes on online platforms, multi-scenario matching has become a mainstream solution to reduce maintenance costs and alleviate data sparsi…
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
Haotong Du, Quanming Yao, Juzheng Zhang +2
Subgraph-based methods have proven to be effective and interpretable in predicting drug-drug interactions (DDIs), which are essential for medical practice and drug development. Sub…