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A sampling-guided unsupervised learning method to capture percolation in complex networks
The use of machine learning methods in classical and quantum systems has led to novel techniques to classify ordered and disordered phases, as well as uncover transition points in critical phenomena. Efforts to extend these methods to dynamical processes in complex networks is a field of active rese...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907239/ https://www.ncbi.nlm.nih.gov/pubmed/35264699 http://dx.doi.org/10.1038/s41598-022-07921-x |