Greedy optimization algorithm.

Greedy optimization algorithm.

<p>(A) Illustration of a single step of the greedy stochastic algorithm. The putative compression Δ<i>L</i>(<i>G</i>, <i>θ</i>, <i>s</i>) that would be obtained by contracting each of the subgraphs in the minibatch is calculated, and the subgraph...

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Bibliographic Details
Main Author: Alexis Bénichou (19832361) (author)
Other Authors: Jean-Baptiste Masson (107354) (author), Christian L. Vestergaard (14559912) (author)
Published: 2024
Subjects:
Biophysics
Medicine
Biotechnology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
“ building blocks
received considerable interest
natural biological experiments
complex networks ”.
biological networks lead
appropriate null model
approach inherently accounts
motif mining based
based motif analysis
prominent network features
order network feature
statistically regular subgraphs
div >< p
compare different motifs
motif significance
based inference
network motifs
significant set
respective compressibility
priori </
particular type
numerical data
functional constraints
computational circuits
comparative connectomics
alternative definition
allows us
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