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PecanPy: a fast, efficient and parallelized Python implementation of node2vec
SUMMARY: Learning low-dimensional representations (embeddings) of nodes in large graphs is key to applying machine learning on massive biological networks. Node2vec is the most widely used method for node embedding. However, its original Python and C++ implementations scale poorly with network densi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504639/ https://www.ncbi.nlm.nih.gov/pubmed/33760066 http://dx.doi.org/10.1093/bioinformatics/btab202 |