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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2023-02-01
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Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-023-00974-z |