Iterative heterogeneous graph learning for knowledge graph-based recommendation

Incorporating knowledge graphs into recommendation systems has attracted wide attention in various fields recently. A Knowledge graph contains abundant information with multi-type relations among multi-type nodes. The heterogeneous structure reveals not only the connectivity but also the complementa...

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Detalles Bibliográficos
Autores principales: Liu, Tieyuan, Shen, Hongjie, Chang, Liang, Li, Long, Li, Jingjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147700/
https://www.ncbi.nlm.nih.gov/pubmed/37117327
http://dx.doi.org/10.1038/s41598-023-33984-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147700/
https://www.ncbi.nlm.nih.gov/pubmed/37117327
http://dx.doi.org/10.1038/s41598-023-33984-5

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