23 citations · 57 across the 22 of their papers we have counts for
4 papers · 1 filter
Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network
Zheyu Chen, Jinfeng Xu, Haibo Hu
The rapid expansion of multimedia contents has led to the emergence of multimodal recommendation systems. It has attracted increasing attention in recommendation systems because it…
AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
Jinfeng Xu, Zheyu Chen, Jinze Li +3
Group activities are important behaviors in human society, providing personalized recommendations for groups is referred to as the group recommendation task. Existing methods can u…
Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
Jinfeng Xu, Zheyu Chen, Jinze Li +4
Graph Collaborative Filtering (GCF) has emerged as a dominant paradigm in modern recommendation systems, excelling at modeling complex user-item interactions and capturing high-ord…
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
Jinfeng Xu, Zheyu Chen, Shuo Yang +3
With the increasing multimedia information, multimodal recommendation has received extensive attention. It utilizes multimodal information to alleviate the data sparsity problem in…