EGRA improves multimodal recommendation by using pretrained-model item embeddings to build the item-item graph and by dynamically weighting modality-behavior alignment per entity and per epoch.
Multi-modal discrete collaborative filtering for efficient cold-start recommendation,
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EGRA:Toward Enhanced Behavior Graphs and Representation Alignment for Multimodal Recommendation
EGRA improves multimodal recommendation by using pretrained-model item embeddings to build the item-item graph and by dynamically weighting modality-behavior alignment per entity and per epoch.