Accurately modeling biased random walks on weighted networks using node2vec+

MOTIVATION: Accurately representing biological networks in a low-dimensional space, also known as network embedding, is a critical step in network-based machine learning and is carried out widely using node2vec, an unsupervised method based on biased random walks. However, while many networks, inclu...

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Detalles Bibliográficos
Autores principales: Liu, Renming, Hirn, Matthew, Krishnan, Arjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891245/
https://www.ncbi.nlm.nih.gov/pubmed/36688699
http://dx.doi.org/10.1093/bioinformatics/btad047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891245/
https://www.ncbi.nlm.nih.gov/pubmed/36688699
http://dx.doi.org/10.1093/bioinformatics/btad047

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