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A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information

Many link prediction methods have been developed to infer unobserved links or predict missing links based on the observed network structure that is always incomplete and subject to interfering noise. Thus, the performance of existing methods is usually limited in that their computation depends only...

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Detalles Bibliográficos
Autores principales: Wang, Wenjun, Tang, Minghu, Jiao, Pengfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264521/
https://www.ncbi.nlm.nih.gov/pubmed/30496261
http://dx.doi.org/10.1371/journal.pone.0208185

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