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The Hidden Flow Structure and Metric Space of Network Embedding Algorithms Based on Random Walks
Network embedding which encodes all vertices in a network as a set of numerical vectors in accordance with it’s local and global structures, has drawn widespread attention. Network embedding not only learns significant features of a network, such as the clustering and linking prediction but also lea...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5640610/ https://ncbi.nlm.nih.gov/pubmed/29030547 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-12586-y |
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