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Nonparametric Bayesian inference of the microcanonical stochastic block
  model
v1v2v3v4 (latest)

Nonparametric Bayesian inference of the microcanonical stochastic block model

9 October 2016
Tiago P. Peixoto
ArXiv (abs)PDFHTML

Papers citing "Nonparametric Bayesian inference of the microcanonical stochastic block model"

31 / 31 papers shown
Title
Network reconstruction via the minimum description length principle
Network reconstruction via the minimum description length principle
Tiago P. Peixoto
109
6
0
02 May 2024
Normalized mutual information is a biased measure for classification and
  community detection
Normalized mutual information is a biased measure for classification and community detection
Max Jerdee
Alec Kirkley
M. E. Newman
64
10
0
03 Jul 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
Implicit models, latent compression, intrinsic biases, and cheap lunches
  in community detection
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection
Tiago P. Peixoto
Alec Kirkley
79
13
0
17 Oct 2022
Revealing Patient-Reported Experiences in Healthcare from Social Media
  using the DAPMAV Framework
Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework
Curtis Murray
Lewis Mitchell
Simon Jonathan Tuke
Mark Mackay
47
1
0
09 Oct 2022
Systematic assessment of the quality of fit of the stochastic block
  model for empirical networks
Systematic assessment of the quality of fit of the stochastic block model for empirical networks
Felipe Vaca-Ramírez
Tiago P. Peixoto
69
8
0
05 Jan 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
Partition and Code: learning how to compress graphs
Partition and Code: learning how to compress graphs
Giorgos Bouritsas
Andreas Loukas
Nikolaos Karalias
M. Bronstein
79
13
0
05 Jul 2021
Multilayer Networks for Text Analysis with Multiple Data Types
Multilayer Networks for Text Analysis with Multiple Data Types
Charles C. Hyland
Yuanming Tao
Lamiae Azizi
Martin Gerlach
Tiago P. Peixoto
E. Altmann
47
15
0
30 Jun 2021
Learning physical properties of anomalous random walks using graph
  neural networks
Learning physical properties of anomalous random walks using graph neural networks
Hippolyte Verdier
M. Duval
François Laurent
Alhassan Cassé
Christian L. Vestergaard
Jean-Baptiste Masson
71
25
0
22 Mar 2021
Disentangling homophily, community structure and triadic closure in
  networks
Disentangling homophily, community structure and triadic closure in networks
Tiago P. Peixoto
74
38
0
07 Jan 2021
Statistical inference of assortative community structures
Statistical inference of assortative community structures
Lizhi Zhang
Tiago P. Peixoto
55
40
0
25 Jun 2020
Universal Graph Compression: Stochastic Block Models
Universal Graph Compression: Stochastic Block Models
Alankrita Bhatt
Ziao Wang
Chi Wang
Lele Wang
34
6
0
04 Jun 2020
Revealing consensus and dissensus between network partitions
Revealing consensus and dissensus between network partitions
Tiago P. Peixoto
86
41
0
28 May 2020
Symptom extraction from the narratives of personal experiences with
  COVID-19 on Reddit
Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit
Curtis Murray
Lewis Mitchell
Simon Jonathan Tuke
Mark Mackay
51
22
0
21 May 2020
Merge-split Markov chain Monte Carlo for community detection
Merge-split Markov chain Monte Carlo for community detection
Tiago P. Peixoto
76
35
0
16 Mar 2020
Latent Poisson models for networks with heterogeneous density
Latent Poisson models for networks with heterogeneous density
Tiago P. Peixoto
70
10
0
18 Feb 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
Student Performance Prediction with Optimum Multilabel Ensemble Model
Student Performance Prediction with Optimum Multilabel Ensemble Model
Ephrem Admasu Yekun
Abrahaley Teklay
43
8
0
06 Sep 2019
Power up! Robust Graph Convolutional Network via Graph Powering
Power up! Robust Graph Convolutional Network via Graph Powering
Ming Jin
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
AAMLGNN
125
27
0
24 May 2019
Planted Hitting Set Recovery in Hypergraphs
Planted Hitting Set Recovery in Hypergraphs
Ilya Amburg
Jon M. Kleinberg
Austin R. Benson
47
14
0
14 May 2019
Network reconstruction and community detection from dynamics
Network reconstruction and community detection from dynamics
Tiago P. Peixoto
84
117
0
26 Mar 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
Network Classification Based Structural Analysis of Real Networks and
  their Model-Generated Counterparts
Network Classification Based Structural Analysis of Real Networks and their Model-Generated Counterparts
Marcell Nagy
Roland Molontay
GNN
47
5
0
19 Oct 2018
Reconstructing networks with unknown and heterogeneous errors
Reconstructing networks with unknown and heterogeneous errors
Tiago P. Peixoto
62
81
0
09 Jun 2018
Evaluating Overfit and Underfit in Models of Network Community Structure
Evaluating Overfit and Underfit in Models of Network Community Structure
Amir Ghasemian
Homa Hosseinmardi
A. Clauset
105
142
0
28 Feb 2018
A network approach to topic models
A network approach to topic models
Martin Gerlach
Tiago P. Peixoto
E. Altmann
BDL
93
217
0
04 Aug 2017
Nonparametric weighted stochastic block models
Nonparametric weighted stochastic block models
Tiago P. Peixoto
66
100
0
04 Aug 2017
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
Modeling sequences and temporal networks with dynamic community
  structures
Modeling sequences and temporal networks with dynamic community structures
Tiago P. Peixoto
M. Rosvall
45
124
0
15 Sep 2015
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