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A statistical interpretation of spectral embedding: the generalised
  random dot product graph

A statistical interpretation of spectral embedding: the generalised random dot product graph

16 September 2017
Patrick Rubin-Delanchy
Joshua Cape
M. Tang
Carey E. Priebe
ArXivPDFHTML

Papers citing "A statistical interpretation of spectral embedding: the generalised random dot product graph"

20 / 70 papers shown
Title
The multilayer random dot product graph
The multilayer random dot product graph
Andrew Jones
Patrick Rubin-Delanchy
19
35
0
20 Jul 2020
Next Waves in Veridical Network Embedding
Next Waves in Veridical Network Embedding
Owen G. Ward
Zhen Huang
Andrew Davison
Tian Zheng
GNN
18
5
0
10 Jul 2020
On spectral algorithms for community detection in stochastic blockmodel
  graphs with vertex covariates
On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates
Cong Mu
A. Mele
Lingxin Hao
Joshua Cape
A. Athreya
Carey E. Priebe
11
11
0
04 Jul 2020
Manifold structure in graph embeddings
Manifold structure in graph embeddings
Patrick Rubin-Delanchy
24
25
0
09 Jun 2020
Bias-Variance Tradeoffs in Joint Spectral Embeddings
Bias-Variance Tradeoffs in Joint Spectral Embeddings
Benjamin Draves
D. Sussman
30
9
0
05 May 2020
Vertex Nomination in Richly Attributed Networks
Vertex Nomination in Richly Attributed Networks
Keith D. Levin
Carey E. Priebe
V. Lyzinski
3DH
11
0
0
29 Apr 2020
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random
  Dot Product Graphs
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs
M. Trosset
Mingyue Gao
M. Tang
Carey E. Priebe
218
10
0
15 Apr 2020
On Two Distinct Sources of Nonidentifiability in Latent Position Random
  Graph Models
On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models
Joshua Agterberg
M. Tang
Carey E. Priebe
CML
32
9
0
31 Mar 2020
Change point localization in dependent dynamic nonparametric random dot
  product graphs
Change point localization in dependent dynamic nonparametric random dot product graphs
Oscar Hernan Madrid Padilla
Yi Yu
Carey E. Priebe
22
27
0
18 Nov 2019
Spectral embedding of weighted graphs
Spectral embedding of weighted graphs
Ian Gallagher
Andrew Jones
A. Bertiger
Carey Priebe
Patrick Rubin-Delanchy
26
16
0
12 Oct 2019
Efficient Estimation for Random Dot Product Graphs via a One-step
  Procedure
Efficient Estimation for Random Dot Product Graphs via a One-step Procedure
Fangzheng Xie
Yanxun Xu
35
21
0
10 Oct 2019
Limit theorems for out-of-sample extensions of the adjacency and
  Laplacian spectral embeddings
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings
Keith D. Levin
Fred Roosta
M. Tang
Michael W. Mahoney
Carey E. Priebe
6
4
0
29 Sep 2019
Subsampling Sparse Graphons Under Minimal Assumptions
Subsampling Sparse Graphons Under Minimal Assumptions
Robert Lunde
Purnamrita Sarkar
13
19
0
29 Jul 2019
Bootstrapping Networks with Latent Space Structure
Bootstrapping Networks with Latent Space Structure
Keith D. Levin
Elizaveta Levina
19
32
0
25 Jul 2019
Inference for multiple heterogeneous networks with a common invariant
  subspace
Inference for multiple heterogeneous networks with a common invariant subspace
Jesús Arroyo
A. Athreya
Joshua Cape
Guodong Chen
Carey E. Priebe
Joshua T. Vogelstein
20
114
0
24 Jun 2019
Recovering shared structure from multiple networks with unknown edge
  distributions
Recovering shared structure from multiple networks with unknown edge distributions
Keith D. Levin
A. Lodhia
Elizaveta Levina
18
9
0
13 Jun 2019
Bayesian estimation of the latent dimension and communities in
  stochastic blockmodels
Bayesian estimation of the latent dimension and communities in stochastic blockmodels
Francesco Sanna Passino
N. Heard
BDL
19
25
0
06 Apr 2019
Simultaneous Dimensionality and Complexity Model Selection for Spectral
  Graph Clustering
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering
Congyuan Yang
Carey E. Priebe
Youngser Park
D. Marchette
12
25
0
05 Apr 2019
Signal-plus-noise matrix models: eigenvector deviations and fluctuations
Signal-plus-noise matrix models: eigenvector deviations and fluctuations
Joshua Cape
M. Tang
Carey E. Priebe
45
48
0
01 Feb 2018
Joint Embedding of Graphs
Joint Embedding of Graphs
Shangsi Wang
Jesús Arroyo
Joshua T. Vogelstein
Carey E. Priebe
14
51
0
10 Mar 2017
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