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Implicit models, latent compression, intrinsic biases, and cheap lunches
  in community detection

Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection

17 October 2022
Tiago P. Peixoto
Alec Kirkley
ArXivPDFHTML

Papers citing "Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection"

5 / 5 papers shown
Title
Why the Metric Backbone Preserves Community Structure
Why the Metric Backbone Preserves Community Structure
Maximilien Dreveton
Charbel Chucri
Matthias Grossglauser
Patrick Thiran
35
0
0
31 Dec 2024
More Recent Advances in (Hyper)Graph Partitioning
More Recent Advances in (Hyper)Graph Partitioning
Umit V. cCatalyurek
K. Devine
Marcelo Fonseca Faraj
Lars Gottesburren
Tobias Heuer
...
Peter Sanders
Sebastian Schlag
Christian Schulz
Daniel Seemaier
D. Wagner
39
48
0
26 May 2022
Disentangling homophily, community structure and triadic closure in
  networks
Disentangling homophily, community structure and triadic closure in networks
Tiago P. Peixoto
20
31
0
07 Jan 2021
Universality of the stochastic block model
Universality of the stochastic block model
Jean-Gabriel Young
G. St‐Onge
P. Desrosiers
Louis J. Dubé
14
29
0
11 Jun 2018
Parsimonious module inference in large networks
Parsimonious module inference in large networks
Tiago P. Peixoto
MoE
31
200
0
19 Dec 2012
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