1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2025★ 1 cited
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
Jinfeng Xu, Zheyu Chen, Wei Wang +3
Recent works in multimodal recommendations, which leverage diverse modal information to address data sparsity and enhance recommendation accuracy, have garnered considerable intere…
cs.IR2023
VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation
Taeri Kim, Jiho Heo, Hongil Kim +2
We address the medication recommendation problem, which aims to recommend effective medications for a patient's current visit by utilizing information (e.g., diagnoses and procedur…
cs.IR2023
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation
Yungi Kim, Taeri Kim, Won-Yong Shin +1
In this paper, we focus on multimedia recommender systems using graph convolutional networks (GCNs) where the multimodal features as well as user-item interactions are employed tog…