2 papers
cs.DB2026
Discovering High-utility Sequential Rules with Increasing Utility Ratio
Zhenqiang Ye, Wensheng Gan, Gengsen Huang +2
Utility-driven mining is an essential task in data science, as it can provide deeper insight into the real world. High-utility sequential rule mining (HUSRM) aims at discovering se…
cs.LG2025
FairGSE: Fairness-Aware Graph Neural Network without High False Positive Rates
Zhenqiang Ye, Jinjie Lu, Tianlong Gu +2
Graph neural networks (GNNs) have emerged as the mainstream paradigm for graph representation learning due to their effective message aggregation. However, this advantage also ampl…