Explainable Classification of Brain Networks via Contrast Subgraphs
Author:
Affiliation:
1. Sapienza University, Rome, Italy
2. ISI Foundation, Turin, Italy
3. KTH, Stockholm, Sweden
Funder
ERC Advanced Grant REBOUND
Intesa San Paolo Innovation Center
Academy of Finland
EC H2020 RIA - Project "SoBigData++"
Wallenberg AI Autonomous Systems and Software Program (WASP)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394486.3403383
Reference44 articles.
1. Sub2Vec: Feature Learning for Subgraphs
2. Greedily Finding a Dense Subgraph
3. Finding Subgraphs with Maximum Total Density and Limited Overlap
4. Functional connectivity in the motor cortex of resting human brain using echo-planar mri
5. Mining coherent subgraphs in multi-layer graphs with edge labels
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