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Stacking models for nearly optimal link prediction in complex networks
Most real-world networks are incompletely observed. Algorithms that can accurately predict which links are missing can dramatically speed up network data collection and improve network model validation. Many algorithms now exist for predicting missing links, given a partially observed network, but i...
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| Publicado en: | Proc Natl Acad Sci U S A |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
National Academy of Sciences
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7519231/ https://ncbi.nlm.nih.gov/pubmed/32887799 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1914950117 |
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