MIGAN: Mutual-Interaction Graph Attention Network for Collaborative Filtering

Many web platforms now include recommender systems. Network representation learning has been a successful approach for building these efficient recommender systems. However, learning the mutual influence of nodes in the network is challenging. Indeed, it carries collaborative signals accounting for...

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Detalles Bibliográficos
Autores principales: Drif, Ahlem, Cherifi, Hocine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407632/
https://www.ncbi.nlm.nih.gov/pubmed/36010748
http://dx.doi.org/10.3390/e24081084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407632/
https://www.ncbi.nlm.nih.gov/pubmed/36010748
http://dx.doi.org/10.3390/e24081084

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