Cargando…
Reconstructing missing complex networks against adversarial interventions
Interactions within complex network components define their operational modes, collective behaviors and global functionality. Understanding the role of these interactions is limited by either sensing methodologies or intentional adversarial efforts that sabotage the network structure. To overcome th...
Autores principales: | Xue, Yuankun, Bogdan, Paul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465316/ https://www.ncbi.nlm.nih.gov/pubmed/30988308 http://dx.doi.org/10.1038/s41467-019-09774-x |
Ejemplares similares
-
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network
por: Friedjungová, Magda, et al.
Publicado: (2020) -
Reliable Multi-Fractal Characterization of Weighted Complex Networks: Algorithms and Implications
por: Xue, Yuankun, et al.
Publicado: (2017) -
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views
por: Doinychko, Anastasiia, et al.
Publicado: (2020) -
Tomographic reconstruction with a generative adversarial network
por: Yang, Xiaogang, et al.
Publicado: (2020) -
Generative adversarial networks for imputing missing data for big data clinical research
por: Dong, Weinan, et al.
Publicado: (2021)