Knowledge-Aware Graph Self-Supervised Learning for Recommendation

Knowledge-Aware Graph Self-Supervised Learning for Recommendation

Collaborative filtering (CF) based on graph neural networks (GNN) can capture higher-order relationships between nodes, which in turn improves recommendation performance. Although effective, GNN-based methods still face the challenges of sparsity and noise in real scenarios. In recent years, researc...

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Bibliographic Details
Main Authors: Shanshan Li, Yutong Jia, You Wu, Ning Wei, Liyan Zhang, Jingfeng Guo
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Electronics
Subjects:
self-supervised learning
knowledge graph
semantic similarity
recommendation
Online Access:https://www.mdpi.com/2079-9292/12/23/4869

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