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1507.04001
Cited By
Structure and inference in annotated networks
14 July 2015
Mark E. J. Newman
A. Clauset
Re-assign community
ArXiv (abs)
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Papers citing
"Structure and inference in annotated networks"
50 / 57 papers shown
Title
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?
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Robust Markov stability for community detection at a scale learned based on the structure
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Sanchaai Mathiyarasan
62
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15 Apr 2025
Changepoint Detection in Highly-Attributed Dynamic Graphs
Emiliano Penaloza
Nathaniel Stevens
41
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0
09 Jul 2024
Flexible inference in heterogeneous and attributed multilayer networks
Martina Contisciani
Marius Hobbhahn
Eleanor A. Power
Philipp Hennig
Caterina De Bacco
91
2
0
31 May 2024
Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model
Maximilien Dreveton
F. S. Fernandes
D. R. Figueiredo
73
7
0
30 Oct 2023
Nested stochastic block model for simultaneously clustering networks and nodes
Nathaniel Josephs
Arash A. Amini
M. Paez
Lizhen Lin
71
4
0
18 Jul 2023
A network community detection method with integration of data from multiple layers and node attributes
H. Reittu
Lasse Leskelä
Tomi D. Räty
67
2
0
22 May 2023
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs
Shenyang Huang
Samy Coulombe
Yasmeen Hitti
Reihaneh Rabbany
Guillaume Rabusseau
57
10
0
02 Feb 2023
Perfect Spectral Clustering with Discrete Covariates
J. Hehir
Xiaoyue Niu
Aleksandra B. Slavkovic
82
0
0
17 May 2022
Inference of hyperedges and overlapping communities in hypergraphs
Martina Contisciani
F. Battiston
Caterina De Bacco
77
71
0
12 Apr 2022
Bayesian community detection for networks with covariates
Luyi W. Shen
Arash A. Amini
Nathaniel Josephs
Lizhen Lin
61
6
0
04 Mar 2022
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths
Tiago P. Peixoto
122
47
0
30 Nov 2021
Extending Bootstrap AMG for Clustering of Attributed Graphs
P. DÁmbra
P. Vassilevski
Luisa Cutillo
123
1
0
20 Sep 2021
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
Node metadata can produce predictability transitions in network inference problems
Oscar Fajardo-Fontiveros
Marta Sales-Pardo
Roger Guimerà
76
4
0
26 Mar 2021
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
Chen Lu
S. Sen
59
22
0
15 Nov 2020
Extended Stochastic Block Models with Application to Criminal Networks
Sirio Legramanti
T. Rigon
Daniele Durante
David B. Dunson
68
22
0
16 Jul 2020
Graph Clustering with Graph Neural Networks
Anton Tsitsulin
John Palowitch
Bryan Perozzi
Emmanuel Müller
GNN
AI4CE
121
270
0
30 Jun 2020
Subgraph Neural Networks
Emily Alsentzer
S. G. Finlayson
Michelle M. Li
Marinka Zitnik
GNN
150
139
0
18 Jun 2020
On a scalable entropic breaching of the overfitting barrier in machine learning
I. Horenko
51
1
0
08 Feb 2020
Community Detection in Bipartite Networks with Stochastic Blockmodels
Tzu-Chi Yen
D. Larremore
86
27
0
22 Jan 2020
Community detection in node-attributed social networks: a survey
Petr Chunaev
83
238
0
20 Dec 2019
Mutual Information in Community Detection with Covariate Information and Correlated Networks
Vaishakhi Mayya
Galen Reeves
68
22
0
11 Dec 2019
Equipping SBMs with RBMs: An Explainable Approach for Analysis of Networks with Covariates
Shubham Gupta
Gururaj K.
Ambedkar Dukkipati
Rui M. Castro
24
1
0
11 Nov 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit
John Palowitch
Bryan Perozzi
76
20
0
25 Sep 2019
Testing for Association in Multi-View Network Data
Lucy L. Gao
Daniela Witten
Jacob Bien
57
8
0
25 Sep 2019
Community Detection and Improved Detectability in Multiplex Networks
Yuming Huang
Ashkan Panahi
Hamid Krim
Liyi Dai
60
13
0
23 Sep 2019
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection
Scott Emmons
P. Mucha
45
21
0
24 Oct 2018
A Survey on Theoretical Advances of Community Detection in Networks
Yunpeng Zhao
61
43
0
26 Aug 2018
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
166
159
0
23 Jul 2018
Pairwise Covariates-adjusted Block Model for Community Detection
Sihan Huang
Jiajin Sun
Yang Feng
67
25
0
10 Jul 2018
Universality of the stochastic block model
Jean-Gabriel Young
G. St‐Onge
P. Desrosiers
Louis J. Dubé
73
31
0
11 Jun 2018
Reconstructing networks with unknown and heterogeneous errors
Tiago P. Peixoto
62
81
0
09 Jun 2018
Stochastic Block Models are a Discrete Surface Tension
Z. Boyd
M. A. Porter
Andrea L. Bertozzi
64
6
0
07 Jun 2018
Prioritizing network communities
Marinka Zitnik
R. Sosič
J. Leskovec
53
71
0
07 May 2018
Stochastic Block Models with Multiple Continuous Attributes
Natalie Stanley
T. Bonacci
Roland Kwitt
Marc Niethammer
P. Mucha
54
64
0
07 Mar 2018
Fast Maximum Likelihood estimation via Equilibrium Expectation for Large Network Data
M. Byshkin
A. Stivala
Antonietta Mira
G. Robins
Alessandro Lomi
43
28
0
28 Feb 2018
Community Detection through Likelihood Optimization: In Search of a Sound Model
L. Ostroumova
Alexey Tikhonov
75
28
0
13 Feb 2018
On consistent vertex nomination schemes
V. Lyzinski
Keith D. Levin
Carey E. Priebe
88
17
0
15 Nov 2017
Algorithmic detectability threshold of the stochastic block model
T. Kawamoto
61
17
0
24 Oct 2017
Two provably consistent divide and conquer clustering algorithms for large networks
Soumendu Sundar Mukherjee
Purnamrita Sarkar
Peter J. Bickel
95
14
0
18 Aug 2017
A network approach to topic models
Martin Gerlach
Tiago P. Peixoto
E. Altmann
BDL
93
217
0
04 Aug 2017
Bayesian stochastic blockmodeling
Tiago P. Peixoto
191
203
0
29 May 2017
Matched bipartite block model with covariates
Zahra S. Razaee
Arash A. Amini
Jingyi Jessica Li
84
23
0
15 Mar 2017
Network cross-validation by edge sampling
Tianxi Li
Elizaveta Levina
Ji Zhu
108
166
0
14 Dec 2016
Community detection with nodal information
Haolei Weng
Yang Feng
62
32
0
31 Oct 2016
The ground truth about metadata and community detection in networks
Leto Peel
D. Larremore
A. Clauset
116
446
0
20 Aug 2016
Covariate Regularized Community Detection in Sparse Graphs
Bowei Yan
Purnamrita Sarkar
72
55
0
10 Jul 2016
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching
V. Lyzinski
Keith D. Levin
D. E. Fishkind
Carey E. Priebe
108
19
0
05 Jul 2016
Bayesian Model Selection of Stochastic Block Models
Xiaoran Yan
74
35
0
23 May 2016
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