The Graph Attention Recommendation Method for Enhancing User Features Based on Knowledge Graphs

The Graph Attention Recommendation Method for Enhancing User Features Based on Knowledge Graphs

Knowledge graphs have shown great potential in alleviating the data sparsity problem in recommendation systems. However, existing graph-attention-based recommendation methods primarily focus on user–item–entity interactions, overlooking potential relationships between users while introducing noisy e...

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Bibliographic Details
Main Authors: Hui Wang, Qin Li, Huilan Luo, Yanfei Tang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Mathematics
Subjects:
recommendation system
graph neural network
knowledge graph
graph attention network
binary classification recommendation
Online Access:https://www.mdpi.com/2227-7390/13/3/390

Internet

https://www.mdpi.com/2227-7390/13/3/390

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