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Nonparametric graphon estimation

Nonparametric graphon estimation

23 September 2013
P. Wolfe
S. Olhede
ArXivPDFHTML

Papers citing "Nonparametric graphon estimation"

41 / 41 papers shown
Title
Implications of sparsity and high triangle density for graph
  representation learning
Implications of sparsity and high triangle density for graph representation learning
Hannah Sansford
Alexander Modell
N. Whiteley
Patrick Rubin-Delanchy
30
1
0
27 Oct 2022
Joint Network Topology Inference via a Shared Graphon Model
Joint Network Topology Inference via a Shared Graphon Model
Madeline Navarro
Santiago Segarra
54
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
85
37
0
30 May 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
24
1
0
06 May 2022
Asymptotics of $\ell_2$ Regularized Network Embeddings
Asymptotics of ℓ2\ell_2ℓ2​ Regularized Network Embeddings
A. Davison
33
0
0
05 Jan 2022
Transferability Properties of Graph Neural Networks
Transferability Properties of Graph Neural Networks
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
GNN
34
41
0
09 Dec 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
Modularity maximisation for graphons
Modularity maximisation for graphons
F. Klimm
N. Jones
Michael T. Schaub
26
1
0
02 Jan 2021
Graph Neural Networks: Architectures, Stability and Transferability
Graph Neural Networks: Architectures, Stability and Transferability
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
58
122
0
04 Aug 2020
Manifold structure in graph embeddings
Manifold structure in graph embeddings
Patrick Rubin-Delanchy
19
25
0
09 Jun 2020
Revealing Network Structure, Confidentially: Improved Rates for
  Node-Private Graphon Estimation
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation
C. Borgs
J. Chayes
Adam D. Smith
Ilias Zadik
FedML
29
46
0
04 Oct 2018
Unseeded low-rank graph matching by transform-based unsupervised point
  registration
Unseeded low-rank graph matching by transform-based unsupervised point registration
Yuan Zhang
24
6
0
12 Jul 2018
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown
  Permutations
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations
Cheng Mao
A. Pananjady
Martin J. Wainwright
18
13
0
25 Jun 2018
Model-based clustering for populations of networks
Model-based clustering for populations of networks
M. Signorelli
E. Wit
30
17
0
01 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
17
119
0
27 Apr 2018
Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers
Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers
Fernando Gama
Alejandro Ribeiro
30
15
0
12 Mar 2018
Network Representation Using Graph Root Distributions
Network Representation Using Graph Root Distributions
Jing Lei
51
31
0
27 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
28
247
0
16 Sep 2017
On sparsity, power-law and clustering properties of graphex processes
On sparsity, power-law and clustering properties of graphex processes
François Caron
F. Panero
Judith Rousseau
31
11
0
10 Aug 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
42
77
0
28 Jul 2017
Structured Matrix Estimation and Completion
Structured Matrix Estimation and Completion
Olga Klopp
Yu Lu
Alexandre B. Tsybakov
Harrison H. Zhou
37
20
0
07 Jul 2017
Why are Big Data Matrices Approximately Low Rank?
Why are Big Data Matrices Approximately Low Rank?
Madeleine Udell
Alex Townsend
29
25
0
21 May 2017
Optimal graphon estimation in cut distance
Optimal graphon estimation in cut distance
Olga Klopp
Nicolas Verzélen
29
29
0
15 Mar 2017
Edge-exchangeable graphs and sparsity (NIPS 2016)
Edge-exchangeable graphs and sparsity (NIPS 2016)
Diana Cai
Trevor Campbell
Tamara Broderick
18
51
0
16 Dec 2016
Sampling and Estimation for (Sparse) Exchangeable Graphs
Sampling and Estimation for (Sparse) Exchangeable Graphs
Victor Veitch
Daniel M. Roy
28
49
0
02 Nov 2016
Graphons, mergeons, and so on!
Graphons, mergeons, and so on!
Justin Eldridge
M. Belkin
Yusu Wang
GNN
19
25
0
06 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
29
63
0
01 Dec 2015
Estimating network edge probabilities by neighborhood smoothing
Estimating network edge probabilities by neighborhood smoothing
Yuan Zhang
Elizaveta Levina
Ji Zhu
22
121
0
29 Sep 2015
A framework for statistical network modeling
A framework for statistical network modeling
Harry Crane
Walter Dempsey
22
38
0
28 Sep 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
37
25
0
26 Aug 2015
Oracle inequalities for network models and sparse graphon estimation
Oracle inequalities for network models and sparse graphon estimation
Olga Klopp
Alexandre B. Tsybakov
Nicolas Verzelen MODAL'X
41
134
0
15 Jul 2015
Private Graphon Estimation for Sparse Graphs
Private Graphon Estimation for Sparse Graphs
C. Borgs
J. Chayes
Adam D. Smith
98
87
0
19 Jun 2015
A goodness-of-fit test for stochastic block models
A goodness-of-fit test for stochastic block models
Jing Lei
35
180
0
16 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
55
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
43
36
0
08 Sep 2014
Modeling heterogeneity in random graphs through latent space models: a
  selective review
Modeling heterogeneity in random graphs through latent space models: a selective review
C. Matias
Stephane S. Robin
BDL
54
86
0
18 Feb 2014
Bayesian Models of Graphs, Arrays and Other Exchangeable Random
  Structures
Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures
Peter Orbanz
Daniel M. Roy
43
245
0
30 Dec 2013
Network histograms and universality of blockmodel approximation
Network histograms and universality of blockmodel approximation
S. Olhede
P. Wolfe
38
152
0
18 Dec 2013
Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency
  Spectral Embedding
Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding
V. Lyzinski
D. Sussman
M. Tang
A. Athreya
Carey Priebe
58
114
0
02 Oct 2013
Matrix estimation by Universal Singular Value Thresholding
Matrix estimation by Universal Singular Value Thresholding
S. Chatterjee
73
520
0
06 Dec 2012
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