2 papers
cs.IR2026
E-MMKGR: A Unified Multimodal Knowledge Graph Framework for E-commerce Applications
Jiwoo Kang, Yeon-Chang Lee
Multimodal recommender systems (MMRSs) enhance collaborative filtering by leveraging item-side modalities, but their reliance on a fixed set of modalities and task-specific objecti…
cs.LG2026
Sparse Bayesian Message Passing under Structural Uncertainty
Yoonhyuk Choi, Jiho Choi, Chanran Kim +5
Semi-supervised learning on real-world graphs is frequently challenged by heterophily, where the observed graph is unreliable or label-disassortative. Many existing graph neural ne…