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Stochastic blockmodel approximation of a graphon: Theory and consistent
  estimation

Stochastic blockmodel approximation of a graphon: Theory and consistent estimation

7 November 2013
E. Airoldi
Thiago B. Costa
Stanley H. Chan
ArXivPDFHTML

Papers citing "Stochastic blockmodel approximation of a graphon: Theory and consistent estimation"

30 / 30 papers shown
Title
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph
  Out-of-Distribution Detection
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection
Junwei He
Qianqian Xu
Yangbangyan Jiang
Zitai Wang
Yuchen Sun
Qingming Huang
OODD
40
0
0
31 Jul 2024
Network two-sample test for block models
Network two-sample test for block models
Chung Kyong Nguen
Oscar Hernan Madrid Padilla
Arash A. Amini
32
0
0
10 Jun 2024
Fine-tuning Graph Neural Networks by Preserving Graph Generative
  Patterns
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns
Yifei Sun
Qi Zhu
Yang Yang
Chunping Wang
Tianyu Fan
Jiajun Zhu
Lei Chen
48
12
0
21 Dec 2023
Implicit Graphon Neural Representation
Implicit Graphon Neural Representation
Xinyue Xia
Gal Mishne
Yusu Wang
GNN
AI4CE
42
5
0
07 Nov 2022
Joint Network Topology Inference via a Shared Graphon Model
Joint Network Topology Inference via a Shared Graphon Model
Madeline Navarro
Santiago Segarra
52
10
0
17 Sep 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs
  in Larger Test Graphs
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou
Gitta Kutyniok
Bruno Ribeiro
OODD
AI4CE
81
37
0
30 May 2022
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Krishnakumar Balasubramanian
22
12
0
18 May 2021
Size-Invariant Graph Representations for Graph Classification
  Extrapolations
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua
Yangze Zhou
Bruno Ribeiro
OOD
35
108
0
08 Mar 2021
Modularity maximisation for graphons
Modularity maximisation for graphons
F. Klimm
N. Jones
Michael T. Schaub
23
1
0
02 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
On Robustness of Principal Component Regression
On Robustness of Principal Component Regression
Anish Agarwal
Devavrat Shah
Dennis Shen
Dogyoon Song
29
81
0
28 Feb 2019
Unseeded low-rank graph matching by transform-based unsupervised point
  registration
Unseeded low-rank graph matching by transform-based unsupervised point registration
Yuan Zhang
21
6
0
12 Jul 2018
Learning Influence-Receptivity Network Structure with Guarantee
Learning Influence-Receptivity Network Structure with Guarantee
Ming Yu
Varun Gupta
Mladen Kolar
28
8
0
14 Jun 2018
Convergence and Concentration of Empirical Measures under Wasserstein
  Distance in Unbounded Functional Spaces
Convergence and Concentration of Empirical Measures under Wasserstein Distance in Unbounded Functional Spaces
Jing Lei
6
119
0
27 Apr 2018
Network Representation Using Graph Root Distributions
Network Representation Using Graph Root Distributions
Jing Lei
51
31
0
27 Feb 2018
Identifiability of Nonparametric Mixture Models and Bayes Optimal
  Clustering
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering
Bryon Aragam
Chen Dan
Eric P. Xing
Pradeep Ravikumar
16
29
0
12 Feb 2018
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
39
77
0
28 Jul 2017
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression
  for Latent Variable Model
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model
Yihua Li
Devavrat Shah
Dogyoon Song
Chao Yu
15
22
0
13 May 2017
Optimal graphon estimation in cut distance
Optimal graphon estimation in cut distance
Olga Klopp
Nicolas Verzélen
21
29
0
15 Mar 2017
Sampling and Estimation for (Sparse) Exchangeable Graphs
Sampling and Estimation for (Sparse) Exchangeable Graphs
Victor Veitch
Daniel M. Roy
20
49
0
02 Nov 2016
Graphons, mergeons, and so on!
Graphons, mergeons, and so on!
Justin Eldridge
M. Belkin
Yusu Wang
GNN
14
25
0
06 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
29
19
0
05 Jul 2016
Information Recovery in Shuffled Graphs via Graph Matching
Information Recovery in Shuffled Graphs via Graph Matching
V. Lyzinski
22
32
0
08 May 2016
Optimal Estimation and Completion of Matrices with Biclustering
  Structures
Optimal Estimation and Completion of Matrices with Biclustering Structures
Chao Gao
Yu Lu
Zongming Ma
Harrison H. Zhou
21
63
0
01 Dec 2015
Consistent nonparametric estimation for heavy-tailed sparse graphs
Consistent nonparametric estimation for heavy-tailed sparse graphs
C. Borgs
J. Chayes
Henry Cohn
S. Ganguly
31
25
0
26 Aug 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
Edge Label Inference in Generalized Stochastic Block Models: from
  Spectral Theory to Impossibility Results
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results
Jiaming Xu
Laurent Massoulié
Marc Lelarge
26
47
0
26 Jun 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
Hypothesis Testing for Automated Community Detection in Networks
Hypothesis Testing for Automated Community Detection in Networks
Peter J. Bickel
Purnamrita Sarkar
40
201
0
12 Nov 2013
A survey of statistical network models
A survey of statistical network models
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
131
976
0
29 Dec 2009
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