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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Detalles Bibliográficos

Autores principales:	Hui Wang, Qin Li, Huilan Luo, Yanfei Tang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-01-01
Colección:	Mathematics
Materias:	recommendation system graph neural network knowledge graph graph attention network binary classification recommendation
Acceso en línea:	https://www.mdpi.com/2227-7390/13/3/390
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