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Reconstructing networks with unknown and heterogeneous errors
v1v2v3 (latest)

Reconstructing networks with unknown and heterogeneous errors

9 June 2018
Tiago P. Peixoto
ArXiv (abs)PDFHTML

Papers citing "Reconstructing networks with unknown and heterogeneous errors"

20 / 20 papers shown
Title
Symmetry-driven embedding of networks in hyperbolic space
Symmetry-driven embedding of networks in hyperbolic space
Simon Lizotte
Jean-Gabriel Young
Antoine Allard
74
1
0
15 Jun 2024
Machine learning of network inference enhancement from noisy
  measurements
Machine learning of network inference enhancement from noisy measurements
K. Wu
Yuan Li
Qingbin Liu
56
0
0
05 Sep 2023
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
G. Chan
Tianxi Li
EgoV
46
1
0
09 Mar 2023
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
54
0
0
27 Oct 2022
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
77
13
0
17 Oct 2022
Cognitive modelling with multilayer networks: Insights, advancements and
  future challenges
Cognitive modelling with multilayer networks: Insights, advancements and future challenges
Massimo Stella
Salvatore Citraro
Giulio Rossetti
Daniele Marinazzo
Yoed N. Kenett
M. Vitevitch
67
1
0
02 Oct 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
94
47
0
30 Nov 2021
Disentangling homophily, community structure and triadic closure in
  networks
Disentangling homophily, community structure and triadic closure in networks
Tiago P. Peixoto
65
38
0
07 Jan 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
80
25
0
29 Oct 2020
Analysis of English free association network reveals mechanisms of
  efficient solution of Remote Association Tests
Analysis of English free association network reveals mechanisms of efficient solution of Remote Association Tests
O. Valba
A. Gorsky
S. Nechaev
M. Tamm
60
15
0
27 Aug 2020
Atomic subgraphs and the statistical mechanics of networks
Atomic subgraphs and the statistical mechanics of networks
Anatol E. Wegner
S. Olhede
46
9
0
24 Aug 2020
Hypergraph reconstruction from network data
Hypergraph reconstruction from network data
Jean-Gabriel Young
G. Petri
Tiago P. Peixoto
105
105
0
11 Aug 2020
Merge-split Markov chain Monte Carlo for community detection
Merge-split Markov chain Monte Carlo for community detection
Tiago P. Peixoto
68
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
80
27
0
22 Jan 2020
Understanding the Limitations of Network Online Learning
Understanding the Limitations of Network Online Learning
Timothy LaRock
Timothy Sakharov
Sahely Bhadra
Tina Eliassi-Rad
62
5
0
09 Jan 2020
Reconstructing commuters network using machine learning and urban
  indicators
Reconstructing commuters network using machine learning and urban indicators
Gabriel Spadon
A. Carvalho
Jose F. Rodrigues-Jr
L. G. Alves
HAI
67
68
0
09 Aug 2019
Network reconstruction and community detection from dynamics
Network reconstruction and community detection from dynamics
Tiago P. Peixoto
82
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
85
203
0
01 Mar 2019
Link prediction for egocentrically sampled networks
Link prediction for egocentrically sampled networks
Yun-Jhong Wu
Elizaveta Levina
Ji Zhu
EgoV
54
15
0
12 Mar 2018
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