Contrastive Graph Learning for Social Recommendation

Contrastive Graph Learning for Social Recommendation

Owing to the strength in learning representation of the high-order connectivity of graph neural networks (GNN), GNN-based collaborative filtering has been widely adopted in recommender systems. Furthermore, to overcome the data sparsity problem, some recent GNN-based models attempt to incorporate so...

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Bibliographic Details
Main Authors: Yongshuai Zhang, Jiajin Huang, Mi Li, Jian Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Physics
Subjects:
recommender system
contrastive learning
graph neural network
social graph
interest graph
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2022.830805/full

Internet

https://www.frontiersin.org/articles/10.3389/fphy.2022.830805/full

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