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On the importance of structural equivalence in temporal networks for epidemic forecasting
Understanding how a disease spreads in a population is a first step to preparing for future epidemics, and machine learning models are a useful tool to analyze the spreading process of infectious diseases. For effective predictions of these spreading processes, node embeddings are used to encode net...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843108/ https://www.ncbi.nlm.nih.gov/pubmed/36650269 http://dx.doi.org/10.1038/s41598-023-28126-w |