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Multimodal Graph Retrieval-Augmented Sequential Recommendation via Collaborative Filtering Paths
Multimodal Large Language Models (MLLMs) have demonstrated strong potential for sequential recommendation through their ability to reason over complex multimodal data. However, existing approaches either rely solely on the target user's own interaction history, neglecting collaborative signals from
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