Cargando…
Link prediction based on non-negative matrix factorization
With the rapid expansion of internet, the complex networks has become high-dimensional, sparse and redundant. Besides, the problem of link prediction in such networks has also obatined increasingly attention from different types of domains like information science, anthropology, sociology and comput...
Autores principales: | Chen, Bolun, Li, Fenfen, Chen, Senbo, Hu, Ronglin, Chen, Ling |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576740/ https://www.ncbi.nlm.nih.gov/pubmed/28854195 http://dx.doi.org/10.1371/journal.pone.0182968 |
Ejemplares similares
-
A perturbation-based framework for link prediction via non-negative matrix factorization
por: Wang, Wenjun, et al.
Publicado: (2016) -
A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information
por: Wang, Wenjun, et al.
Publicado: (2018) -
Link prediction on bipartite networks using matrix factorization with negative sample selection
por: Peng, Siqi, et al.
Publicado: (2023) -
Application of network link prediction in drug discovery
por: Abbas, Khushnood, et al.
Publicado: (2021) -
A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks
por: Abbas, Khushnood, et al.
Publicado: (2023)