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Hierarchical Block Structures and High-resolution Model Selection in
  Large Networks

Hierarchical Block Structures and High-resolution Model Selection in Large Networks

16 October 2013
Tiago P. Peixoto
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Papers citing "Hierarchical Block Structures and High-resolution Model Selection in Large Networks"

15 / 15 papers shown
Title
MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length
MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length
J. V. Pichowski
Christopher Blöcker
Ingo Scholtes
16
0
0
16 Sep 2024
Network reconstruction via the minimum description length principle
Network reconstruction via the minimum description length principle
Tiago P. Peixoto
18
5
0
02 May 2024
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
19
0
0
18 Jan 2023
Transformers meet Stochastic Block Models: Attention with Data-Adaptive
  Sparsity and Cost
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
Sungjun Cho
Seonwoo Min
Jinwoo Kim
Moontae Lee
Honglak Lee
Seunghoon Hong
30
3
0
27 Oct 2022
Adversarial contamination of networks in the setting of vertex
  nomination: a new trimming method
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method
Sheyda Peyman
M. Tang
V. Lyzinski
AAML
20
0
0
20 Aug 2022
20 years of network community detection
20 years of network community detection
S. Fortunato
Mark E. J. Newman
GNN
13
132
0
30 Jul 2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph
  Representations
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
Nikolaos Nakis
Abdulkadir Çelikkanat
Sune Lehmann
Morten Mørup
11
7
0
12 Apr 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
27
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
22
44
0
30 Nov 2021
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical
  Similarity Graphs
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs
Junhyung Ahn
Adel M. Elmahdy
S. Mohajer
Changho Suh
8
7
0
12 Sep 2021
Can x2vec Save Lives? Integrating Graph and Language Embeddings for
  Automatic Mental Health Classification
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification
Alex Ruch
20
6
0
04 Jan 2020
Network reconstruction and community detection from dynamics
Network reconstruction and community detection from dynamics
Tiago P. Peixoto
6
116
0
26 Mar 2019
The ground truth about metadata and community detection in networks
The ground truth about metadata and community detection in networks
Leto Peel
D. Larremore
A. Clauset
30
442
0
20 Aug 2016
Efficient Monte Carlo and greedy heuristic for the inference of
  stochastic block models
Efficient Monte Carlo and greedy heuristic for the inference of stochastic block models
Tiago P. Peixoto
TPM
33
202
0
16 Oct 2013
Parsimonious module inference in large networks
Parsimonious module inference in large networks
Tiago P. Peixoto
MoE
43
200
0
19 Dec 2012
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