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Significant subgraph mining for neural network inference with multiple comparisons correction

We describe how the recently introduced method of significant subgraph mining can be employed as a useful tool in neural network comparison. It is applicable whenever the goal is to compare two sets of unweighted graphs and to determine differences in the processes that generate them. We provide an...

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Detalles Bibliográficos
Autores principales: Gutknecht, Aaron J., Wibral, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312259/
https://www.ncbi.nlm.nih.gov/pubmed/37397879
http://dx.doi.org/10.1162/netn_a_00288