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Learning 1-Dimensional Submanifolds for Subsequent Inference on Random
  Dot Product Graphs
v1v2v3v4v5v6 (latest)

Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs

15 April 2020
M. Trosset
Mingyue Gao
M. Tang
Carey E. Priebe
ArXiv (abs)PDFHTML

Papers citing "Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs"

7 / 7 papers shown
Title
Continuous Multidimensional Scaling
Continuous Multidimensional Scaling
M. Trosset
Carey E. Priebe
39
3
0
06 Feb 2024
Spectral embedding and the latent geometry of multipartite networks
Spectral embedding and the latent geometry of multipartite networks
Alexander Modell
Ian Gallagher
Joshua Cape
Patrick Rubin-Delanchy
43
1
0
08 Feb 2022
Latent structure blockmodels for Bayesian spectral graph clustering
Latent structure blockmodels for Bayesian spectral graph clustering
Francesco Sanna Passino
N. Heard
69
1
0
04 Jul 2021
Matrix factorisation and the interpretation of geodesic distance
Matrix factorisation and the interpretation of geodesic distance
N. Whiteley
Annie Gray
Patrick Rubin-Delanchy
87
10
0
02 Jun 2021
Rehabilitating Isomap: Euclidean Representation of Geodesic Structure
Rehabilitating Isomap: Euclidean Representation of Geodesic Structure
M. Trosset
Gokcen Buyukbas
61
7
0
18 Jun 2020
Manifold structure in graph embeddings
Manifold structure in graph embeddings
Patrick Rubin-Delanchy
75
25
0
09 Jun 2020
A statistical interpretation of spectral embedding: the generalised
  random dot product graph
A statistical interpretation of spectral embedding: the generalised random dot product graph
Patrick Rubin-Delanchy
Joshua Cape
M. Tang
Carey E. Priebe
117
133
0
16 Sep 2017
1