Link prediction on bipartite networks using matrix factorization with negative sample selection

We propose a new method for bipartite link prediction using matrix factorization with negative sample selection. Bipartite link prediction is a problem that aims to predict the missing links or relations in a bipartite network. One of the most popular solutions to the problem is via matrix factoriza...

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Detalles Bibliográficos
Autores principales: Peng, Siqi, Yamamoto, Akihiro, Ito, Kimihito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431684/
https://www.ncbi.nlm.nih.gov/pubmed/37585433
http://dx.doi.org/10.1371/journal.pone.0289568

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431684/
https://www.ncbi.nlm.nih.gov/pubmed/37585433
http://dx.doi.org/10.1371/journal.pone.0289568

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