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Estimating and understanding exponential random graph models
v1v2v3v4v5 (latest)

Estimating and understanding exponential random graph models

14 February 2011
S. Chatterjee
P. Diaconis
ArXiv (abs)PDFHTML

Papers citing "Estimating and understanding exponential random graph models"

50 / 61 papers shown
Scalable Policy Maximization Under Network Interference
Scalable Policy Maximization Under Network Interference
Aidan Gleich
Eric B. Laber
Alexander Volfovsky
225
1
0
23 May 2025
Rates of convergence and normal approximations for estimators of local
  dependence random graph models
Rates of convergence and normal approximations for estimators of local dependence random graph models
Jonathan R. Stewart
197
2
0
17 Apr 2024
SteinGen: Generating Fidelitous and Diverse Graph Samples
SteinGen: Generating Fidelitous and Diverse Graph Samples
Gesine Reinert
Wenkai Xu
328
1
0
27 Mar 2024
Quantifying Human Priors over Social and Navigation Networks
Quantifying Human Priors over Social and Navigation Networks
Gecia Bravo Hermsdorff
202
1
0
28 Feb 2024
On the Role of Edge Dependency in Graph Generative Models
On the Role of Edge Dependency in Graph Generative Models
Sudhanshu Chanpuriya
Cameron Musco
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
274
1
0
06 Dec 2023
Generating synthetic power grids using exponential random graphs models
Generating synthetic power grids using exponential random graphs models
Francesco Giacomarra
G. Bet
Alessandro Zocca
110
2
0
30 Oct 2023
Stochastic Step-wise Feature Selection for Exponential Random Graph
  Models (ERGMs)
Stochastic Step-wise Feature Selection for Exponential Random Graph Models (ERGMs)PLoS ONE (PLoS ONE), 2023
H. El-Zaatari
Fei Yu
Michael R. Kosorok
108
2
0
24 Jul 2023
On RKHS Choices for Assessing Graph Generators via Kernel Stein
  Statistics
On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics
Moritz Weckbecker
Wenkai Xu
Gesine Reinert
182
3
0
11 Oct 2022
Metastable Mixing of Markov Chains: Efficiently Sampling Low Temperature
  Exponential Random Graphs
Metastable Mixing of Markov Chains: Efficiently Sampling Low Temperature Exponential Random GraphsThe Annals of Applied Probability (Ann. Appl. Probab.), 2022
Guy Bresler
Dheeraj M. Nagaraj
Eshaan Nichani
214
6
0
28 Aug 2022
Higher-order accurate two-sample network inference and network hashing
Higher-order accurate two-sample network inference and network hashingJournal of the American Statistical Association (JASA), 2022
Meijia Shao
Dong Xia
Yuan Zhang
Qiong Wu
Shuo Chen
371
8
0
16 Aug 2022
Actor Heterogeneity and Explained Variance in Network Models -- A
  Scalable Approach through Variational Approximations
Actor Heterogeneity and Explained Variance in Network Models -- A Scalable Approach through Variational Approximations
Nadja Klein
Goran Kauermann
178
0
0
29 Apr 2022
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment
  of Implicit Graph Generators
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph GeneratorsNeural Information Processing Systems (NeurIPS), 2022
Wenkai Xu
Gesine Reinert
409
4
0
07 Mar 2022
Misspecification Tests on Models of Random Graphs
Misspecification Tests on Models of Random Graphs
D. Duarte
Rafael Honório Pereira Alves
105
0
0
03 Feb 2022
Gradient flows on graphons: existence, convergence, continuity equations
Gradient flows on graphons: existence, convergence, continuity equations
Sewoong Oh
Soumik Pal
Raghav Somani
Raghavendra Tripathi
293
5
0
18 Nov 2021
Signal Detection in Degree Corrected ERGMs
Signal Detection in Degree Corrected ERGMs
Yuanzhe Xu
Soumendu Sundar Mukherjee
211
1
0
20 Aug 2021
Longitudinal Network Models and Permutation-Uniform Markov Chains
Longitudinal Network Models and Permutation-Uniform Markov ChainsScandinavian Journal of Statistics (Scand. J. Stat.), 2021
William K. Schwartz
S. Petrović
Hemanshu Kaul
196
0
0
12 Aug 2021
A Stein Goodness of fit Test for Exponential Random Graph Models
A Stein Goodness of fit Test for Exponential Random Graph Models
Wenkai Xu
Gesine Reinert
263
5
0
28 Feb 2021
Spectral density of random graphs: convergence properties and
  application in model fitting
Spectral density of random graphs: convergence properties and application in model fitting
Suzana de Siqueira Santos
André Fujita
C. Matias
225
9
0
22 Feb 2021
Motif Estimation via Subgraph Sampling: The Fourth Moment Phenomenon
Motif Estimation via Subgraph Sampling: The Fourth Moment Phenomenon
B. Bhattacharya
Sayan Das
Soumendu Sundar Mukherjee
285
12
0
05 Nov 2020
Atomic subgraphs and the statistical mechanics of networks
Atomic subgraphs and the statistical mechanics of networks
Anatol E. Wegner
S. Olhede
284
10
0
24 Aug 2020
Mixed Logit Models and Network Formation
Mixed Logit Models and Network Formation
Harsh Gupta
M. A. Porter
414
7
0
30 Jun 2020
Central limit theorems for local network statistics
Central limit theorems for local network statistics
P. Maugis
GNN
288
8
0
28 Jun 2020
A Complete Characterization of Projectivity for Statistical Relational
  Models
A Complete Characterization of Projectivity for Statistical Relational Models
M. Jaeger
Oliver Schulte
205
10
0
23 Apr 2020
Weighted directed networks with a differentially private bi-degree
  sequence
Weighted directed networks with a differentially private bi-degree sequence
Qiuping Wang
Xiao Zhang
Jing Luo
Ouyang Yang
Qian Wang
204
2
0
21 Mar 2020
Block-Approximated Exponential Random Graphs
Block-Approximated Exponential Random GraphsInternational Conference on Data Science and Advanced Analytics (DSAA), 2020
Florian Adriaens
Alexandru Mara
Jefrey Lijffijt
T. D. Bie
346
3
0
14 Feb 2020
Introducing Graph Cumulants: What is the Variance of Your Social
  Network?
Introducing Graph Cumulants: What is the Variance of Your Social Network?
L. Gunderson
Gecia Bravo Hermsdorff
387
7
0
10 Feb 2020
Maximum likelihood estimation for discrete exponential families and
  random graphs
Maximum likelihood estimation for discrete exponential families and random graphsLatin American Journal of Probability and Mathematical Statistics (ALEA), 2019
K. Bogdan
Michał Bosy
T. Skalski
206
4
0
29 Nov 2019
Maximum Likelihood under constraints: Degeneracies and Random Critical
  Points
Maximum Likelihood under constraints: Degeneracies and Random Critical Points
Subhro Ghosh
S. Chaudhuri
183
1
0
03 Oct 2019
Graphical Construction of Spatial Gibbs Random Graphs
Graphical Construction of Spatial Gibbs Random GraphsJournal of Mathematics and Physics (JMP), 2019
Andressa Cerqueira
N. Garcia
104
0
0
23 Aug 2019
Parameters estimation in a 3-parameters p-star model
Parameters estimation in a 3-parameters p-star model
P. Lenarda
G. Gnecco
M. Riccaboni
144
1
0
16 Sep 2018
Link prediction for egocentrically sampled networks
Link prediction for egocentrically sampled networksJournal of Computational And Graphical Statistics (JCGS), 2018
Yun-Jhong Wu
Elizaveta Levina
Ji Zhu
EgoV
184
16
0
12 Mar 2018
A note on perfect simulation for exponential random graph models
A note on perfect simulation for exponential random graph models
Andressa Cerqueira
Aurélien Garivier
Florencia Leonardi
133
3
0
02 Oct 2017
Relational Marginal Problems: Theory and Estimation
Relational Marginal Problems: Theory and Estimation
Ondrej Kuzelka
Yuyi Wang
Jesse Davis
Steven Schockaert
351
25
0
18 Sep 2017
Decomposition of mean-field Gibbs distributions into product measures
Decomposition of mean-field Gibbs distributions into product measures
Ronen Eldan
Renan Gross
176
33
0
19 Aug 2017
Exponential Random Graph Models with Big Networks: Maximum
  Pseudolikelihood Estimation and the Parametric Bootstrap
Exponential Random Graph Models with Big Networks: Maximum Pseudolikelihood Estimation and the Parametric Bootstrap
Christian S. Schmid
Bruce A. Desmarais
116
44
0
08 Aug 2017
Exponential random graphs behave like mixtures of stochastic block
  models
Exponential random graphs behave like mixtures of stochastic block models
Ronen Eldan
Renan Gross
150
23
0
05 Jul 2017
Sparse Maximum-Entropy Random Graphs with a Given Power-Law Degree
  Distribution
Sparse Maximum-Entropy Random Graphs with a Given Power-Law Degree Distribution
P. van der Hoorn
Gábor Lippner
D. Krioukov
172
33
0
29 May 2017
Large-scale estimation of random graph models with local dependence
Large-scale estimation of random graph models with local dependence
Sergii Babkin
Jonathan Stewart
Xiaochen Long
M. Schweinberger
260
2
0
27 Mar 2017
Consistent structure estimation of exponential-family random graph
  models with block structure
Consistent structure estimation of exponential-family random graph models with block structure
M. Schweinberger
317
16
0
24 Feb 2017
Affiliation networks with an increasing degree sequence
Affiliation networks with an increasing degree sequence
Yong Zhang
Xiaodi Qian
H. Qin
T. Yan
127
11
0
07 Feb 2017
Concentration and consistency results for canonical and curved
  exponential-family models of random graphs
Concentration and consistency results for canonical and curved exponential-family models of random graphs
M. Schweinberger
J. Stewart
497
34
0
06 Feb 2017
Random Networks, Graphical Models, and Exchangeability
Random Networks, Graphical Models, and Exchangeability
Steffen Lauritzen
Alessandro Rinaldo
Kayvan Sadeghi
248
37
0
29 Jan 2017
DERGMs: Degeneracy-restricted exponential random graph models
DERGMs: Degeneracy-restricted exponential random graph models
Vishesh Karwa
Sonja Petrović
Denis Bajic
460
4
0
09 Dec 2016
On the Geometry and Extremal Properties of the Edge-Degeneracy Model
On the Geometry and Extremal Properties of the Edge-Degeneracy Model
Nicolas Kim
Dane Wilburne
Sonja Petrović
Alessandro Rinaldo
238
1
0
31 Jan 2016
The sample size required in importance sampling
The sample size required in importance sampling
S. Chatterjee
P. Diaconis
527
224
0
04 Nov 2015
Error Bounds for Sequential Monte Carlo Samplers for Multimodal
  Distributions
Error Bounds for Sequential Monte Carlo Samplers for Multimodal Distributions
Daniel Paulin
Ajay Jasra
Alexandre Hoang Thiery
365
20
0
29 Sep 2015
Exponential Random Simplicial Complexes
Exponential Random Simplicial Complexes
Konstantin Zuev
Or Eisenberg
D. Krioukov
274
42
0
17 Feb 2015
Statistical Models for Degree Distributions of Networks
Statistical Models for Degree Distributions of Networks
Kayvan Sadeghi
Alessandro Rinaldo
178
10
0
14 Nov 2014
Asymptotics in directed exponential random graph models with an
  increasing bi-degree sequence
Asymptotics in directed exponential random graph models with an increasing bi-degree sequence
T. Yan
Chenlei Leng
Ji Zhu
374
93
0
06 Aug 2014
Ergodicity of Approximate MCMC Chains with Applications to Large Data
  Sets
Ergodicity of Approximate MCMC Chains with Applications to Large Data Sets
Natesh S. Pillai
Aaron Smith
353
59
0
01 May 2014
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