Noise-augmented contrastive learning with attention for knowledge-aware collaborative recommendation

Abstract Knowledge graph (KG) plays an increasingly important role in recommender systems. Recently, Graph Convolutional Network (GCN) and Graph Attention Network (GAT) based model has gradually become the theme of Collaborative Knowledge Graph (CKG). However, recommender systems encounter long-tail...

Descrición completa

Detalles Bibliográficos

Principais autores:	Wanyi Gu, Hua Xu, Xiang Peng, Ning Rao, Huali Zhu
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2025-10-01
Series:	Scientific Reports
Assuntos:	Recommendation Contrastive learning Knowledge graph Noise-based augmentation Graph attention network
Acceso en liña:	https://doi.org/10.1038/s41598-025-17640-8
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!