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Network reconstruction and community detection from dynamics

Network reconstruction and community detection from dynamics

26 March 2019
Tiago P. Peixoto
ArXivPDFHTML

Papers citing "Network reconstruction and community detection from dynamics"

20 / 20 papers shown
Title
Community detection for binary graphical models in high dimension
Community detection for binary graphical models in high dimension
Julien Chevallier
G. Ost
62
0
0
23 Nov 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
Tensor product algorithms for inference of contact network from
  epidemiological data
Tensor product algorithms for inference of contact network from epidemiological data
Sergey V. Dolgov
D. Savostyanov
18
0
0
26 Jan 2024
Scalable network reconstruction in subquadratic time
Scalable network reconstruction in subquadratic time
Tiago P. Peixoto
19
5
0
02 Jan 2024
Benchmarking Evolutionary Community Detection Algorithms in Dynamic
  Networks
Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks
Giordano Paoletti
L. Gioacchini
Marco Mellia
L. Vassio
Jussara M. Almeida
10
1
0
21 Dec 2023
Machine learning of network inference enhancement from noisy
  measurements
Machine learning of network inference enhancement from noisy measurements
K. Wu
Yuan Li
J. Liu
8
0
0
05 Sep 2023
Module-based regularization improves Gaussian graphical models when
  observing noisy data
Module-based regularization improves Gaussian graphical models when observing noisy data
Magnus Neuman
J. Calatayud
Viktor Tasselius
M. Rosvall
15
1
0
29 Mar 2023
Community Detection with Known, Unknown, or Partially Known Auxiliary
  Latent Variables
Community Detection with Known, Unknown, or Partially Known Auxiliary Latent Variables
Mohammadjafar Esmaeili
Aria Nosratinia
12
3
0
08 Jan 2023
A Bayesian Approach to Reconstructing Interdependent Infrastructure
  Networks from Cascading Failures
A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures
Yu Wang
Jin-Zhu Yu
H. Baroud
14
1
0
28 Nov 2022
Bayesian Inference of Transition Matrices from Incomplete Graph Data
  with a Topological Prior
Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior
Vincenzo Perri
Luka V. Petrović
Ingo Scholtes
15
0
0
27 Oct 2022
Unifying Pairwise Interactions in Complex Dynamics
Unifying Pairwise Interactions in Complex Dynamics
Oliver M. Cliff
Annie G. Bryant
J. Lizier
N. Tsuchiya
Ben D. Fulcher
22
36
0
28 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
Node metadata can produce predictability transitions in network
  inference problems
Node metadata can produce predictability transitions in network inference problems
Oscar Fajardo-Fontiveros
M. Sales-Pardo
R. Guimerà
35
4
0
26 Mar 2021
Machine Learning Link Inference of Noisy Delay-coupled Networks with
  Opto-Electronic Experimental Tests
Machine Learning Link Inference of Noisy Delay-coupled Networks with Opto-Electronic Experimental Tests
A. Banerjee
Joseph D. Hart
R. Roy
Edward Ott
11
24
0
29 Oct 2020
Atomic subgraphs and the statistical mechanics of networks
Atomic subgraphs and the statistical mechanics of networks
Anatol E. Wegner
S. Olhede
8
9
0
24 Aug 2020
Detecting structural perturbations from time series with deep learning
Detecting structural perturbations from time series with deep learning
Edward Laurence
Charles Murphy
G. St‐Onge
Xavier Roy-Pomerleau
Vincent Thibeault
18
3
0
09 Jun 2020
Exact recovery and sharp thresholds of Stochastic Ising Block Model
Exact recovery and sharp thresholds of Stochastic Ising Block Model
Min Ye
6
2
0
13 Apr 2020
Merge-split Markov chain Monte Carlo for community detection
Merge-split Markov chain Monte Carlo for community detection
Tiago P. Peixoto
6
33
0
16 Mar 2020
Latent Poisson models for networks with heterogeneous density
Latent Poisson models for networks with heterogeneous density
Tiago P. Peixoto
23
10
0
18 Feb 2020
Blind identification of stochastic block models from dynamical
  observations
Blind identification of stochastic block models from dynamical observations
Michael T. Schaub
Santiago Segarra
J. Tsitsiklis
14
33
0
22 May 2019
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