3 papers
cs.IR2026
PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering
Doyun Choi, Cheonwoo Lee, Biniyam Aschalew Tolera +3
Graph-based social recommendation (SocialRec) has emerged as a powerful extension of graph collaborative filtering (GCF), which leverages graph neural networks (GNNs) to capture mu…
cs.IR2025
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals
Doyun Choi, Cheonwoo Lee, Jaemin Yoo
Contrastive learning (CL) has been widely used for enhancing the performance of graph collaborative filtering (GCF) for personalized recommendation. Since data augmentation plays a…
cs.LG2025
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
Chaewoon Bae, Doyun Choi, Jaehyun Lee +1
Few-shot node classification on hypergraphs requires models that generalize from scarce labels while capturing high-order structures. Existing hypergraph neural networks (HNNs) eff…