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Conditional graph diffusion with granular-ball representation for multimodal recommendation
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AI
DOI：10.1016/j.eswa.2026.132124.png)
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Abstract
En 中文
• Design a granular-ball based representation learning module to capture user preference. • Propose a multimodal guided conditional graph diffusion module to alleviate the noise issue. • Experiments on three datasets show the superior performance of the proposed model.
Keywords:
granular-ball representation
conditional graph diffusion
multimodal recommendation
representation learning
noise alleviation
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W
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