Nonparametric graphon estimation

23 September 2013

Papers citing "Nonparametric graphon estimation"

40 / 40 papers shown

Title
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 Madeline Navarro Santiago Segarra 54 10 0 17 Sep 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 83 37 0 30 May 2022
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 $\ell_2$ Regularized Network Embeddings A. Davison 33 0 0 05 Jan 2022
Transferability Properties of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 32 41 0 09 Dec 2021
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons Krishnakumar Balasubramanian 22 12 0 18 May 2021
Modularity maximisation for graphons F. Klimm N. Jones Michael T. Schaub 26 1 0 02 Jan 2021
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 Patrick Rubin-Delanchy 19 25 0 09 Jun 2020
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 Yuan Zhang 24 6 0 12 Jul 2018
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 M. Signorelli E. Wit 30 17 0 01 Jun 2018
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 Fernando Gama Alejandro Ribeiro 30 15 0 12 Mar 2018
Network Representation Using Graph Root Distributions Jing Lei 51 31 0 27 Feb 2018
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 François Caron F. Panero Judith Rousseau 31 11 0 10 Aug 2017
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 Olga Klopp Yu Lu Alexandre B. Tsybakov Harrison H. Zhou 37 20 0 07 Jul 2017
Optimal graphon estimation in cut distance Olga Klopp Nicolas Verzélen 29 29 0 15 Mar 2017
Edge-exchangeable graphs and sparsity (NIPS 2016) Diana Cai Trevor Campbell Tamara Broderick 15 51 0 16 Dec 2016
Sampling and Estimation for (Sparse) Exchangeable Graphs Victor Veitch Daniel M. Roy 28 49 0 02 Nov 2016
Graphons, mergeons, and so on! Justin Eldridge M. Belkin Yusu Wang GNN 16 25 0 06 Jul 2016
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 Chao Gao Yu Lu Zongming Ma Harrison H. Zhou 29 63 0 01 Dec 2015
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 Harry Crane Walter Dempsey 19 38 0 28 Sep 2015
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 Olga Klopp Alexandre B. Tsybakov Nicolas Verzelen MODAL'X 41 134 0 15 Jul 2015
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 Jing Lei 35 180 0 16 Dec 2014
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 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 C. Matias Stephane S. Robin BDL 54 86 0 18 Feb 2014
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 S. Olhede P. Wolfe 38 152 0 18 Dec 2013
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 S. Chatterjee 73 520 0 06 Dec 2012