On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models

31 March 2020

Joshua Agterberg

M. Tang

Carey E. Priebe

CML

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Papers citing "On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models"

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Title
$Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for Symmetric Random Matrices$ Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for Symmetric Random Matrices Lihua Lei 31 9 0 11 Sep 2019
Bootstrapping Networks with Latent Space Structure Keith D. Levin Elizaveta Levina 31 34 0 25 Jul 2019
Uniform bounds for invariant subspace perturbations Anil Damle Yuekai Sun 49 22 0 20 May 2019
Two-sample Test of Community Memberships of Weighted Stochastic Block Models Yezheng Li Hongzhe Li 26 16 0 30 Nov 2018
On a 'Two Truths' Phenomenon in Spectral Graph Clustering Carey E. Priebe Youngser Park Joshua T. Vogelstein John M. Conroy V. Lyzinski M. Tang A. Athreya Joshua Cape Eric W. Bridgeford 39 72 0 23 Aug 2018
On spectral embedding performance and elucidating network structure in stochastic block model graphs Joshua Cape M. Tang Carey E. Priebe 38 23 0 14 Aug 2018
Network Representation Using Graph Root Distributions Jing Lei 75 31 0 27 Feb 2018
Signal-plus-noise matrix models: eigenvector deviations and fluctuations Joshua Cape M. Tang Carey E. Priebe 74 49 0 01 Feb 2018
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank Emmanuel Abbe Jianqing Fan Kaizheng Wang Yiqiao Zhong 64 249 0 27 Sep 2017
A statistical interpretation of spectral embedding: the generalised random dot product graph Patrick Rubin-Delanchy Joshua Cape M. Tang Carey E. Priebe 42 129 0 16 Sep 2017
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 94 248 0 16 Sep 2017
Estimating Mixed Memberships with Sharp Eigenvector Deviations Xueyu Mao Purnamrita Sarkar Deepayan Chakrabarti 80 87 0 01 Sep 2017
Two-sample Hypothesis Testing for Inhomogeneous Random Graphs Debarghya Ghoshdastidar Maurilio Gutzeit Alexandra Carpentier U. V. Luxburg 48 54 0 04 Jul 2017
Unperturbed: spectral analysis beyond Davis-Kahan Justin Eldridge M. Belkin Yusu Wang 36 96 0 20 Jun 2017
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics Joshua Cape M. Tang Carey E. Priebe 54 132 0 30 May 2017
Two-Sample Tests for Large Random Graphs Using Network Statistics Debarghya Ghoshdastidar Maurilio Gutzeit Alexandra Carpentier U. V. Luxburg 51 40 0 17 May 2017
Limit theorems for eigenvectors of the normalized Laplacian for random graphs M. Tang Carey E. Priebe 45 99 0 28 Jul 2016
Rate-Optimal Perturbation Bounds for Singular Subspaces with Applications to High-Dimensional Statistics T. Tony Cai Anru R. Zhang 48 156 0 02 May 2016
Network histograms and universality of blockmodel approximation S. Olhede P. Wolfe 80 152 0 18 Dec 2013
Universally consistent vertex classification for latent positions graphs M. Tang D. Sussman Carey E. Priebe 47 128 0 05 Dec 2012
A Tutorial on Spectral Clustering U. V. Luxburg 221 10,497 0 01 Nov 2007