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Found 3 papers, 3 papers with code
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning
Additionally, to adjust the impact of inaccuracies in multimedia data, a disentangled multi-modal list-wise distillation is developed with modality-aware re-weighting mechanism.
DiffKG: Knowledge Graph Diffusion Model for Recommendation
To bridge this research gap, we propose a novel knowledge graph diffusion model for recommendation, referred to as DiffKG.
Adaptive Graph Contrastive Learning for Recommendation
These approaches conduct self-supervised learning through creating contrastive views, but they depend on the tedious trial-and-error selection of augmentation methods.
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