SSGCL: Simple Social Recommendation with Graph Contrastive Learning

SSGCL: Simple Social Recommendation with Graph Contrastive Learning

As user–item interaction information is typically limited, collaborative filtering (CF)-based recommender systems often suffer from the data sparsity issue. To address this issue, recent recommender systems have turned to graph neural networks (GNNs) due to their superior performance in capturing hi...

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Bibliographic Details
Main Authors:	Zhihua Duan, Chun Wang, Wending Zhong
Format:	Article
Language:	English
Published:	MDPI AG 2024-04-01
Series:	Mathematics
Subjects:	recommendation system collaborative filtering social recommendation contrastive learning graph neural networks
Online Access:	https://www.mdpi.com/2227-7390/12/7/1107

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