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Unifying Node Labels, Features, and Distances for Deep Network Completion
Collected network data are often incomplete, with both missing nodes and missing edges. Thus, network completion that infers the unobserved part of the network is essential for downstream tasks. Despite the emerging literature related to network recovery, the potential information has not been effec...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234573/ https://www.ncbi.nlm.nih.gov/pubmed/34207438 http://dx.doi.org/10.3390/e23060771 |