SimDCL: dropout-based simple graph contrastive learning for recommendation

Abstract Representation learning of users and items is the core of recommendation, and benefited from the development of graph neural network (GNN), graph collaborative filtering (GCF) for capturing higher order connectivity has been successful in the recommendation domain. Nevertheless, the matrix...

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Bibliographic Details
Main Authors: YuHao Xu, ZhenHai Wang, ZhiRu Wang, YunLong Guo, Rong Fan, HongYu Tian, Xing Wang
Format: Article
Language:English
Published: Springer 2023-02-01
Series:Complex & Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1007/s40747-023-00974-z