Multimodal Graph Retrieval-Augmented Sequential Recommendation via Collaborative Filtering Paths
MGRASRec is a multimodal framework for sequential recommendation that enhances Large Multimodal Models (MLLMs) by injecting structured collaborative signals directly into their prompts. It uses graph path retrieval to find relevant user-item interactions and multimodal similarity to broaden coverage beyond simple co-interaction, leading to state-of-the-art performance across multiple datasets.