SIHG-Rec: Unleashing the Power of Semantic and Interactive Homogeneous Graphs via Dual-Stage Fusion for Multimodal Recommendation
Recent studies in multimodal recommendation, which leverage diverse modal information to address data sparsity and enhance recommendation accuracy, have garnered significant interest. Two critical processes in this domain are modality fusion and representation learning. In representation learning, existing studies ofte...