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Model Selection for Degree-corrected Block Models
v1v2 (latest)

Model Selection for Degree-corrected Block Models

17 July 2012
Xiaoran Yan
C. Shalizi
Jacob E. Jensen
Florent Krzakala
Cristopher Moore
Lenka Zdeborova
Pan Zhang
Yaojia Zhu
ArXiv (abs)PDFHTML

Papers citing "Model Selection for Degree-corrected Block Models"

38 / 38 papers shown
Title
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
Cencheng Shen
Jonathan Larson
Ha Trinh
Carey E. Priebe
94
2
0
21 May 2024
Hybrid of node and link communities for graphon estimation
Hybrid of node and link communities for graphon estimation
Arthur Verdeyme
S. Olhede
99
1
0
10 Jan 2024
Consistent model selection for the Degree Corrected Stochastic
  Blockmodel
Consistent model selection for the Degree Corrected Stochastic Blockmodel
Andressa Cerqueira
S. Gallo
Florencia Leonardi
C. Vera
67
2
0
07 Feb 2023
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic
  Graphs
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs
Clement D Lee
Marco Battiston
78
0
0
18 Jan 2023
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
Spectral goodness-of-fit tests for complete and partial network data
Spectral goodness-of-fit tests for complete and partial network data
Shane Lubold
Bolun Liu
Tyler H. McCormick
69
3
0
17 Jun 2021
Hypothesis Testing for Equality of Latent Positions in Random Graphs
Hypothesis Testing for Equality of Latent Positions in Random Graphs
Xinjie Du
M. Tang
63
11
0
23 May 2021
Community Detection in Weighted Multilayer Networks with Ambient Noise
Community Detection in Weighted Multilayer Networks with Ambient Noise
Mark He
Dylan Lu
Jason Xu
R. Xavier
87
0
0
24 Feb 2021
Adjusted chi-square test for degree-corrected block models
Adjusted chi-square test for degree-corrected block models
Linfan Zhang
Arash A. Amini
58
6
0
30 Dec 2020
An empirical Bayes Approach to stochastic blockmodels and graphons:
  shrinkage estimation and model selection
An empirical Bayes Approach to stochastic blockmodels and graphons: shrinkage estimation and model selection
Zhanhao Peng
Qing Zhou
25
0
0
12 Jun 2020
Community Detection in Bipartite Networks with Stochastic Blockmodels
Community Detection in Bipartite Networks with Stochastic Blockmodels
Tzu-Chi Yen
D. Larremore
86
27
0
22 Jan 2020
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic
  Block Models
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models
Jane Carlen
Jaume de Dios Pont
C. Mentus
Shyr-Shea Chang
Stephanie Wang
M. A. Porter
60
6
0
26 Aug 2019
Algebraic Statistics in Practice: Applications to Networks
Algebraic Statistics in Practice: Applications to Networks
M. Casanellas
S. Petrović
Caroline Uhler
32
4
0
23 Jun 2019
Adapting Stochastic Block Models to Power-Law Degree Distributions
Adapting Stochastic Block Models to Power-Law Degree Distributions
Maoying Qiao
Jun-chen Yu
Wei Bian
Qiang Li
Dacheng Tao
25
22
0
05 Apr 2019
A Review of Stochastic Block Models and Extensions for Graph Clustering
A Review of Stochastic Block Models and Extensions for Graph Clustering
Clement Lee
D. Wilkinson
96
203
0
01 Mar 2019
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning
Seiji Maekawa
Koh Takeuchi
Makoto Onizuka
31
11
0
21 Sep 2018
Generative models for local network community detection
Generative models for local network community detection
Twan van Laarhoven
23
5
0
12 Apr 2018
Bayesian stochastic blockmodeling
Bayesian stochastic blockmodeling
Tiago P. Peixoto
191
203
0
29 May 2017
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
Testing Degree Corrections in Stochastic Block Models
Testing Degree Corrections in Stochastic Block Models
Rajarshi Mukherjee
S. Sen
42
4
0
22 May 2017
Network cross-validation by edge sampling
Network cross-validation by edge sampling
Tianxi Li
Elizaveta Levina
Ji Zhu
108
166
0
14 Dec 2016
Nonparametric Bayesian inference of the microcanonical stochastic block
  model
Nonparametric Bayesian inference of the microcanonical stochastic block model
Tiago P. Peixoto
100
169
0
09 Oct 2016
Detection Thresholds for the $β$-Model on Sparse Graphs
Detection Thresholds for the βββ-Model on Sparse Graphs
Rajarshi Mukherjee
Soumendu Sundar Mukherjee
S. Sen
50
6
0
05 Aug 2016
Community Detection Algorithm Combining Stochastic Block Model and
  Attribute Data Clustering
Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering
Shuníchi Kataoka
Takuto Kobayashi
Muneki Yasuda
Kazuyuki Tanaka
44
3
0
21 Jul 2016
Bayesian Model Selection of Stochastic Block Models
Bayesian Model Selection of Stochastic Block Models
Xiaoran Yan
74
35
0
23 May 2016
Clustering on the Edge: Learning Structure in Graphs
Clustering on the Edge: Learning Structure in Graphs
Matt Barnes
A. Dubrawski
32
0
0
05 May 2016
Statistical physics of inference: Thresholds and algorithms
Statistical physics of inference: Thresholds and algorithms
Lenka Zdeborová
Florent Krzakala
AI4CE
133
427
0
08 Nov 2015
Modeling sequences and temporal networks with dynamic community
  structures
Modeling sequences and temporal networks with dynamic community structures
Tiago P. Peixoto
M. Rosvall
64
124
0
15 Sep 2015
A goodness-of-fit test for stochastic block models
A goodness-of-fit test for stochastic block models
Jing Lei
151
185
0
16 Dec 2014
A unified view of generative models for networks: models, methods,
  opportunities, and challenges
A unified view of generative models for networks: models, methods, opportunities, and challenges
Abigail Z. Jacobs
A. Clauset
118
31
0
14 Nov 2014
A Generic Sample Splitting Approach for Refined Community Recovery in
  Stochastic Block Models
A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models
Jing Lei
Lingxue Zhu
152
18
0
06 Nov 2014
Learning Latent Block Structure in Weighted Networks
Learning Latent Block Structure in Weighted Networks
Christopher Aicher
Abigail Z. Jacobs
A. Clauset
161
311
0
02 Apr 2014
Scalable detection of statistically significant communities and
  hierarchies, using message-passing for modularity
Scalable detection of statistically significant communities and hierarchies, using message-passing for modularity
Pan Zhang
Cristopher Moore
121
171
0
23 Mar 2014
Detecting change points in the large-scale structure of evolving
  networks
Detecting change points in the large-scale structure of evolving networks
Leto Peel
A. Clauset
122
239
0
05 Mar 2014
Modeling heterogeneity in random graphs through latent space models: a
  selective review
Modeling heterogeneity in random graphs through latent space models: a selective review
C. Matias
Stephane S. Robin
BDL
141
87
0
18 Feb 2014
A high-reproducibility and high-accuracy method for automated topic
  classification
A high-reproducibility and high-accuracy method for automated topic classification
Andrea Lancichinetti
M. Sirer
Jane X. Wang
Daniel Ernesto Acuna
Konrad Paul Kording
L. A. N. Amaral
89
99
0
03 Feb 2014
The Infinite Degree Corrected Stochastic Block Model
The Infinite Degree Corrected Stochastic Block Model
Tue Herlau
Mikkel N. Schmidt
Morten Mørup
125
22
0
11 Nov 2013
Hierarchical Block Structures and High-resolution Model Selection in
  Large Networks
Hierarchical Block Structures and High-resolution Model Selection in Large Networks
Tiago P. Peixoto
165
376
0
16 Oct 2013
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