2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.IR2025★ 2 cited
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
Xiangjin Xie, Yuxin Chen, Ruipeng Wang +8
Graph neural networks have been widely used in recent recommender systems, where negative sampling plays an important role. Existing negative sampling methods restrict the relation…
cs.IR2023★ 1 cited
Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation
Kai Ouyang, Xianghong Xu, Miaoxin Chen +4
Session-based Recommendation (SR) aims to predict users' next click based on their behavior within a short period, which is crucial for online platforms. However, most existing SR…
cs.LG2022
Global Mixup: Eliminating Ambiguity with Clustering
Xiangjin Xie, Yangning Li, Wang Chen +3
Data augmentation with \textbf{Mixup} has been proven an effective method to regularize the current deep neural networks. Mixup generates virtual samples and corresponding labels a…