Multi-View Collaborative Fusion and Contrastive Learning for Recommendation

In knowledge-enhanced recommendation algorithms, Graph Neural Network (GNN)-based methods have become the dominant paradigm due to their powerful capabilities in modeling higher-order structural information. However, they still face two key challenges: 1) The traditional GNN aggregation mechanism su...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Shuqin Zhang, Hui Zhao
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Contrastive learning knowledge graph graph attention network recommender systems
Online Access:	https://ieeexplore.ieee.org/document/11176032/