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Spectral inference for large Stochastic Blockmodels with nodal
  covariates

Spectral inference for large Stochastic Blockmodels with nodal covariates

18 August 2019
A. Mele
Lingxin Hao
Joshua Cape
Carey E. Priebe
ArXivPDFHTML

Papers citing "Spectral inference for large Stochastic Blockmodels with nodal covariates"

11 / 11 papers shown
Title
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
96
248
0
16 Sep 2017
Community Detection and Stochastic Block Models
Community Detection and Stochastic Block Models
Emmanuel Abbe
82
1,187
0
29 Mar 2017
Likelihood Inference for Large Scale Stochastic Blockmodels with
  Covariates based on a Divide-and-Conquer Parallelizable Algorithm with
  Communication
Likelihood Inference for Large Scale Stochastic Blockmodels with Covariates based on a Divide-and-Conquer Parallelizable Algorithm with Communication
S. Roy
Yves Atchadé
George Michailidis
24
15
0
30 Oct 2016
Limit theorems for eigenvectors of the normalized Laplacian for random
  graphs
Limit theorems for eigenvectors of the normalized Laplacian for random graphs
M. Tang
Carey E. Priebe
45
99
0
28 Jul 2016
Semi-External Memory Sparse Matrix Multiplication for Billion-Node
  Graphs
Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs
Da Zheng
Disa Mhembere
V. Lyzinski
Joshua T. Vogelstein
Carey E. Priebe
Randal C. Burns
111
28
0
09 Feb 2016
An SSD-based eigensolver for spectral analysis on billion-node graphs
An SSD-based eigensolver for spectral analysis on billion-node graphs
Da Zheng
Randal C. Burns
Joshua T. Vogelstein
Carey E. Priebe
A. Szalay
99
10
0
03 Feb 2016
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs
Da Zheng
Disa Mhembere
Randal C. Burns
Joshua T. Vogelstein
Carey E. Priebe
A. Szalay
49
238
0
03 Aug 2014
Universally consistent vertex classification for latent positions graphs
Universally consistent vertex classification for latent positions graphs
M. Tang
D. Sussman
Carey E. Priebe
47
128
0
05 Dec 2012
Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
153
221
0
04 Jul 2012
Model-based clustering of large networks
Model-based clustering of large networks
D. Vu
David R. Hunter
M. Schweinberger
50
65
0
01 Jul 2012
Stochastic blockmodels with growing number of classes
Stochastic blockmodels with growing number of classes
David S. Choi
P. Wolfe
E. Airoldi
170
259
0
21 Nov 2010
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