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A survey of statistical network models

A survey of statistical network models

29 December 2009
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
ArXivPDFHTML

Papers citing "A survey of statistical network models"

50 / 62 papers shown
Title
Fitting networks with a cancellation trick
Jiashun Jin
Jingming Wang
56
0
0
23 Feb 2025
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
37
1
0
31 May 2024
Copula Approximate Bayesian Computation Using Distribution Random
  Forests
Copula Approximate Bayesian Computation Using Distribution Random Forests
G. Karabatsos
39
1
0
28 Feb 2024
On the Randić index and its variants of network data
On the Randić index and its variants of network data
Ming Yuan
24
10
0
31 Aug 2023
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Matthieu Cordonnier
Nicolas Keriven
Nicolas M Tremblay
Samuel Vaiter
GNN
49
7
0
21 Apr 2023
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
G. Chan
Tianxi Li
EgoV
18
1
0
09 Mar 2023
Implicit Graphon Neural Representation
Implicit Graphon Neural Representation
Xinyue Xia
Gal Mishne
Yusu Wang
GNN
AI4CE
39
4
0
07 Nov 2022
Adaptive Weights Community Detection
Adaptive Weights Community Detection
Franz Besold
V. Spokoiny
21
0
0
25 Aug 2022
An Approach for Link Prediction in Directed Complex Networks based on
  Asymmetric Similarity-Popularity
An Approach for Link Prediction in Directed Complex Networks based on Asymmetric Similarity-Popularity
Hafida Benhidour
Lama Almeshkhas
Said Kerrache
13
2
0
15 Jul 2022
Clustered Graph Matching for Label Recovery and Graph Classification
Clustered Graph Matching for Label Recovery and Graph Classification
Zhirui Li
Jesús Arroyo
Konstantinos Pantazis
V. Lyzinski
FedML
21
1
0
06 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
30
67
0
12 Apr 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits
  of One-shot Graph Generators
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
Karolis Martinkus
Andreas Loukas
Nathanael Perraudin
Roger Wattenhofer
36
67
0
04 Apr 2022
Entropic Optimal Transport in Random Graphs
Entropic Optimal Transport in Random Graphs
Nicolas Keriven
OT
18
4
0
11 Jan 2022
The interplay between ranking and communities in networks
The interplay between ranking and communities in networks
Laura Iacovissi
Caterina De Bacco
33
6
0
23 Dec 2021
On Sparse High-Dimensional Graphical Model Learning For Dependent Time
  Series
On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
Jitendra Tugnait
CML
23
13
0
15 Nov 2021
Community detection in censored hypergraph
Community detection in censored hypergraph
Mingao Yuan
Bin Zhao
Xiaofeng Zhao
27
2
0
04 Nov 2021
Community detection for weighted bipartite networks
Community detection for weighted bipartite networks
Huan Qing
Jingli Wang
47
11
0
21 Sep 2021
Guaranteed Functional Tensor Singular Value Decomposition
Guaranteed Functional Tensor Singular Value Decomposition
Rungang Han
Pixu Shi
Anru R. Zhang
34
20
0
09 Aug 2021
Spectral goodness-of-fit tests for complete and partial network data
Spectral goodness-of-fit tests for complete and partial network data
Shane Lubold
Bolun Liu
Tyler H. McCormick
24
3
0
17 Jun 2021
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Krishnakumar Balasubramanian
22
12
0
18 May 2021
Directed mixed membership stochastic blockmodel
Directed mixed membership stochastic blockmodel
Huan Qing
Jingli Wang
25
5
0
07 Jan 2021
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Hongteng Xu
Dixin Luo
Lawrence Carin
H. Zha
46
28
0
10 Dec 2020
Graph Convolutional Gaussian Processes For Link Prediction
Graph Convolutional Gaussian Processes For Link Prediction
Felix L. Opolka
Pietro Lió
GNN
27
15
0
11 Feb 2020
Monitoring dynamic networks: a simulation-based strategy for comparing
  monitoring methods and a comparative study
Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative study
Lisha Yu
I. Zwetsloot
Nathaniel T. Stevens
James D. Wilson
K. Tsui
10
18
0
24 May 2019
Factor Models for High-Dimensional Tensor Time Series
Factor Models for High-Dimensional Tensor Time Series
Rong Chen
Dan Yang
Cun-Hui Zhang
AI4TS
26
90
0
18 May 2019
Stochastic Blockmodels meet Graph Neural Networks
Stochastic Blockmodels meet Graph Neural Networks
Nikhil Mehta
Lawrence Carin
Piyush Rai
BDL
35
80
0
14 May 2019
Pairwise Covariates-adjusted Block Model for Community Detection
Pairwise Covariates-adjusted Block Model for Community Detection
Sihan Huang
Jiajin Sun
Yang Feng
17
24
0
10 Jul 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GAN
GNN
29
360
0
02 Mar 2018
Network Representation Using Graph Root Distributions
Network Representation Using Graph Root Distributions
Jing Lei
51
31
0
27 Feb 2018
Estimation of Local Degree Distributions via Local Weighted Averaging
  and Monte Carlo Cross-Validation
Estimation of Local Degree Distributions via Local Weighted Averaging and Monte Carlo Cross-Validation
Paulo Serra
Michel Mandjes
20
1
0
26 Feb 2018
Statistical inference on random dot product graphs: a survey
Statistical inference on random dot product graphs: a survey
A. Athreya
D. E. Fishkind
Keith D. Levin
V. Lyzinski
Youngser Park
Yichen Qin
D. Sussman
M. Tang
Joshua T. Vogelstein
Carey E. Priebe
20
247
0
16 Sep 2017
Centrality measures for graphons: Accounting for uncertainty in networks
Centrality measures for graphons: Accounting for uncertainty in networks
Marco Avella-Medina
F. Parise
Michael T. Schaub
Santiago Segarra
26
77
0
28 Jul 2017
Optimal Rates for Community Estimation in the Weighted Stochastic Block
  Model
Optimal Rates for Community Estimation in the Weighted Stochastic Block Model
Min Xu
Varun Jog
Po-Ling Loh
25
56
0
05 Jun 2017
Nonparametric inference for continuous-time event counting and
  link-based dynamic network models
Nonparametric inference for continuous-time event counting and link-based dynamic network models
Alexander Kreiss
E. Mammen
W. Polonik
35
9
0
10 May 2017
Community Detection in Hypergraphs, Spiked Tensor Models, and
  Sum-of-Squares
Community Detection in Hypergraphs, Spiked Tensor Models, and Sum-of-Squares
Chiheon Kim
Afonso S. Bandeira
M. Goemans
21
53
0
08 May 2017
Spectral clustering in the dynamic stochastic block model
Spectral clustering in the dynamic stochastic block model
Marianna Pensky
Teng Zhang
32
75
0
02 May 2017
The Kato--Temple inequality and eigenvalue concentration with
  applications to graph inference
The Kato--Temple inequality and eigenvalue concentration with applications to graph inference
Joshua Cape
M. Tang
Carey E. Priebe
21
7
0
19 Mar 2016
Probabilistic community detection with unknown number of communities
Probabilistic community detection with unknown number of communities
J. Geng
A. Bhattacharya
D. Pati
21
73
0
25 Feb 2016
Exchangeable Random Measures for Sparse and Modular Graphs with
  Overlapping Communities
Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities
A. Todeschini
Xenia Miscouridou
François Caron
22
40
0
05 Feb 2016
Sharing Social Network Data: Differentially Private Estimation of
  Exponential-Family Random Graph Models
Sharing Social Network Data: Differentially Private Estimation of Exponential-Family Random Graph Models
Vishesh Karwa
P. Krivitsky
Aleksandra B. Slavkovic
24
55
0
09 Nov 2015
COEVOLVE: A Joint Point Process Model for Information Diffusion and
  Network Co-evolution
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar
Yichen Wang
Manuel Gomez Rodriguez
Shuang Li
H. Zha
Le Song
30
238
0
08 Jul 2015
Community detection in multi-relational data with restricted multi-layer
  stochastic blockmodel
Community detection in multi-relational data with restricted multi-layer stochastic blockmodel
Subhadeep Paul
Yuguo Chen
27
94
0
08 Jun 2015
Exact P-values for Network Interference
Exact P-values for Network Interference
Susan Athey
Dean Eckles
Guido Imbens
12
226
0
05 Jun 2015
Optimal Bayesian estimation in stochastic block models
Optimal Bayesian estimation in stochastic block models
D. Pati
A. Bhattacharya
30
7
0
26 May 2015
Detecting Overlapping Communities in Networks Using Spectral Methods
Detecting Overlapping Communities in Networks Using Spectral Methods
Yuan Zhang
Elizaveta Levina
Ji Zhu
46
103
0
10 Dec 2014
How Many Communities Are There?
How Many Communities Are There?
Diego Saldana
Yi Yu
Yang Feng
32
109
0
04 Dec 2014
A unified view of generative models for networks: models, methods,
  opportunities, and challenges
A unified view of generative models for networks: models, methods, opportunities, and challenges
Abigail Z. Jacobs
A. Clauset
47
31
0
14 Nov 2014
A nonparametric two-sample hypothesis testing problem for random dot
  product graphs
A nonparametric two-sample hypothesis testing problem for random dot product graphs
M. Tang
A. Athreya
D. Sussman
V. Lyzinski
Carey E. Priebe
35
36
0
08 Sep 2014
Empirical Bayes Estimation for the Stochastic Blockmodel
Empirical Bayes Estimation for the Stochastic Blockmodel
Shakira Suwan
Dominic S. Lee
Runze Tang
D. Sussman
M. Tang
Carey E. Priebe
40
22
0
23 May 2014
Robust and computationally feasible community detection in the presence
  of arbitrary outlier nodes
Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
T. Tony Cai
Xiaodong Li
50
139
0
23 Apr 2014
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