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Structure and inference in annotated networks

Structure and inference in annotated networks

14 July 2015
Mark E. J. Newman
A. Clauset
ArXiv (abs)PDFHTML

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?
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?
Michela Lapenna
Caterina De Bacco
82
0
0
13 Jun 2025
Robust Markov stability for community detection at a scale learned based on the structure
Robust Markov stability for community detection at a scale learned based on the structure
Samin Aref
Sanchaai Mathiyarasan
62
1
0
15 Apr 2025
Changepoint Detection in Highly-Attributed Dynamic Graphs
Changepoint Detection in Highly-Attributed Dynamic Graphs
Emiliano Penaloza
Nathaniel Stevens
41
0
0
09 Jul 2024
Flexible inference in heterogeneous and attributed multilayer networks
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
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
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
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
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
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
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
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
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
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
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
Node metadata can produce predictability transitions in network inference problems
Oscar Fajardo-Fontiveros
Marta Sales-Pardo
Roger Guimerà
74
4
0
26 Mar 2021
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
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
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
Graph Clustering with Graph Neural Networks
Anton Tsitsulin
John Palowitch
Bryan Perozzi
Emmanuel Müller
GNNAI4CE
121
270
0
30 Jun 2020
Subgraph Neural Networks
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
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
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
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
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
Equipping SBMs with RBMs: An Explainable Approach for Analysis of Networks with Covariates
Shubham Gupta
Gururaj K.
Ambedkar Dukkipati
Rui M. Castro
20
1
0
11 Nov 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training
  Unit
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
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
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
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection
Scott Emmons
P. Mucha
43
21
0
24 Oct 2018
A Survey on Theoretical Advances of Community Detection in Networks
A Survey on Theoretical Advances of Community Detection in Networks
Yunpeng Zhao
61
43
0
26 Aug 2018
Contextual Stochastic Block Models
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
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
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
Reconstructing networks with unknown and heterogeneous errors
Tiago P. Peixoto
62
81
0
09 Jun 2018
Stochastic Block Models are a Discrete Surface Tension
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
Prioritizing network communities
Marinka Zitnik
R. Sosič
J. Leskovec
49
71
0
07 May 2018
Stochastic Block Models with Multiple Continuous Attributes
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
Fast Maximum Likelihood estimation via Equilibrium Expectation for Large Network Data
M. Byshkin
A. Stivala
Antonietta Mira
G. Robins
Alessandro Lomi
39
28
0
28 Feb 2018
Community Detection through Likelihood Optimization: In Search of a
  Sound Model
Community Detection through Likelihood Optimization: In Search of a Sound Model
L. Ostroumova
Alexey Tikhonov
73
28
0
13 Feb 2018
On consistent vertex nomination schemes
On consistent vertex nomination schemes
V. Lyzinski
Keith D. Levin
Carey E. Priebe
86
17
0
15 Nov 2017
Algorithmic detectability threshold of the stochastic block model
Algorithmic detectability threshold of the stochastic block model
T. Kawamoto
57
17
0
24 Oct 2017
Two provably consistent divide and conquer clustering algorithms for
  large networks
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
A network approach to topic models
Martin Gerlach
Tiago P. Peixoto
E. Altmann
BDL
93
217
0
04 Aug 2017
Bayesian stochastic blockmodeling
Bayesian stochastic blockmodeling
Tiago P. Peixoto
186
203
0
29 May 2017
Matched bipartite block model with covariates
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
Network cross-validation by edge sampling
Tianxi Li
Elizaveta Levina
Ji Zhu
108
166
0
14 Dec 2016
Community detection with nodal information
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
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
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
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
Bayesian Model Selection of Stochastic Block Models
Xiaoran Yan
68
35
0
23 May 2016
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