Grade: Generative graph contrastive learning for multimodal recommendation

Multimodal recommender systems based on graph convolutional networks have made significant progress by integrating multiple modal data for item recommendation. While most existing approaches learn user and item representations through modality-related interaction graphs, these approaches still encou...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 657; S. 131630
Hauptverfasser:	Ping, Yu-Chao, Wang, Shu-Qin, Yang, Zi-Yi, Dong, Yong-Quan, Hu, Meng-Xiang, Zhang, Pei-Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 07.12.2025
Schlagworte:	Contrastive learning Graph convolutional network Multimodal recommendation systems Variational graph autoencoder Multimodal recommendation systems Graph convolutional network Variational graph autoencoder Contrastive learning
ISSN:	0925-2312
Online-Zugang:	Volltext
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