2 citations · 2 across the 5 of their papers we have counts for
5 papers
FSGR: Mitigating Token Frequency Bias for Fair SID-Based Generative Recommendation
Yuchen Zheng, Sihan Xu, Jingwen Yang +3
Semantic ID (SID)-based generative recommendation has recently achieved remarkable success. However, existing methods suffer from a previously overlooked fairness issue, which we t…
Graffin: Stand for Tails in Imbalanced Node Classification
Xiaorui Qi, Yanlong Wen, Xiaojie Yuan
Graph representation learning (GRL) models have succeeded in many scenarios. Real-world graphs have imbalanced distribution, such as node labels and degrees, which leaves a critica…
An Efficient Loop and Clique Coarsening Algorithm for Graph Classification
Xiaorui Qi, Qijie Bai, Yanlong Wen +2
Graph Transformers (GTs) have made remarkable achievements in graph-level tasks. However, most existing works regard graph structures as a form of guidance or bias for enhancing no…
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
Tianhao Huang, Xuan Pan, Xiangrui Cai +2
Next Point-of-Interests (POIs) recommendation task aims to provide a dynamic ranking of POIs based on users' current check-in trajectories. The recommendation performance of this t…
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection
Xiangrui Cai, Yang Wang, Sihan Xu +4
Enterprises and organizations are faced with potential threats from insider employees that may lead to serious consequences. Previous studies on insider threat detection (ITD) main…