Collaborative denoised graph contrastive learning for multi-modal recommendation-Reference-Cited by-同舟云学术

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Collaborative denoised graph contrastive learning for multi-modal recommendation

Published:2024-09 Issue: Volume:679 Page:121017
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Xu Fuyong^ORCID,Zhu Zhenfang,Fu Yixin,Wang Ru,Liu Peiyu

Funder

National Office for Philosophy and Social Sciences

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Reference50 articles.

1. Bootstrap latent representations for multi-modal recommendation;Zhou,2023

2. Learning the user's deeper preferences for multi-modal recommendation systems;Lei;ACM Trans. Multimed. Comput. Commun. Appl.,2023

3. Mining stable preferences: adaptive modality decorrelation for multimedia recommendation;Zhang,2023

4. Lightgt: a light graph transformer for multimedia recommendation;Wei,2023

5. Hierarchical user intent graph network for multimedia recommendation;Wei;IEEE Trans. Multimed.,2022

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