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Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs
15 April 2020
M. Trosset
Mingyue Gao
M. Tang
Carey E. Priebe
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Papers citing
"Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs"
7 / 7 papers shown
Continuous Multidimensional Scaling
M. Trosset
Carey E. Priebe
160
3
0
06 Feb 2024
Spectral embedding and the latent geometry of multipartite networks
Alexander Modell
Ian Gallagher
Joshua Cape
Patrick Rubin-Delanchy
318
1
0
08 Feb 2022
Latent structure blockmodels for Bayesian spectral graph clustering
Francesco Sanna Passino
N. Heard
307
3
0
04 Jul 2021
Matrix factorisation and the interpretation of geodesic distance
Neural Information Processing Systems (NeurIPS), 2021
N. Whiteley
Annie Gray
Patrick Rubin-Delanchy
418
12
0
02 Jun 2021
Rehabilitating Isomap: Euclidean Representation of Geodesic Structure
M. Trosset
Gokcen Buyukbas
265
7
0
18 Jun 2020
Manifold structure in graph embeddings
Patrick Rubin-Delanchy
343
27
0
09 Jun 2020
A statistical interpretation of spectral embedding: the generalised random dot product graph
Patrick Rubin-Delanchy
Joshua Cape
M. Tang
Carey E. Priebe
465
161
0
16 Sep 2017
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