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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2023
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| Materias: | |
| 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 |