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Algorithmic detectability threshold of the stochastic block model
v1v2 (latest)

Algorithmic detectability threshold of the stochastic block model

24 October 2017
T. Kawamoto
ArXiv (abs)PDFHTML

Papers citing "Algorithmic detectability threshold of the stochastic block model"

5 / 5 papers shown
Title
Nonbacktracking spectral clustering of nonuniform hypergraphs
Nonbacktracking spectral clustering of nonuniform hypergraphs
Philip S. Chodrow
Nicole Eikmeier
Jamie Haddock
72
21
0
27 Apr 2022
Descriptive vs. inferential community detection in networks: pitfalls,
  myths, and half-truths
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths
Tiago P. Peixoto
122
47
0
30 Nov 2021
Mean-field theory of graph neural networks in graph partitioning
Mean-field theory of graph neural networks in graph partitioning
T. Kawamoto
Masashi Tsubaki
T. Obuchi
117
58
0
29 Oct 2018
Universality of the stochastic block model
Universality of the stochastic block model
Jean-Gabriel Young
G. St‐Onge
P. Desrosiers
Louis J. Dubé
73
31
0
11 Jun 2018
Consistencies and inconsistencies between model selection and link
  prediction in networks
Consistencies and inconsistencies between model selection and link prediction in networks
Toni Vallès-Català
Tiago P. Peixoto
Roger Guimerà
Marta Sales-Pardo
86
50
0
22 May 2017
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