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The multilayer random dot product graph

The multilayer random dot product graph

20 July 2020
Andrew Jones
Patrick Rubin-Delanchy
ArXivPDFHTML

Papers citing "The multilayer random dot product graph"

20 / 20 papers shown
Title
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Emma Ceccherini
Ian Gallagher
Andrew Jones
Daniel J. Lawson
45
0
0
04 Mar 2025
Valid Bootstraps for Network Embeddings with Applications to Network Visualisation
Valid Bootstraps for Network Embeddings with Applications to Network Visualisation
Emerald Dilworth
Ed Davis
Daniel J. Lawson
32
0
0
28 Oct 2024
Valid Conformal Prediction for Dynamic GNNs
Valid Conformal Prediction for Dynamic GNNs
Ed Davis
Ian Gallagher
Daniel J. Lawson
Patrick Rubin-Delanchy
AI4CE
42
3
0
29 May 2024
Computational Approaches for Exponential-Family Factor Analysis
Computational Approaches for Exponential-Family Factor Analysis
Liang Wang
Luis Carvalho
18
1
0
22 Mar 2024
Signed Diverse Multiplex Networks: Clustering and Inference
Signed Diverse Multiplex Networks: Clustering and Inference
Marianna Pensky
29
2
0
14 Feb 2024
A Simple and Powerful Framework for Stable Dynamic Network Embedding
A Simple and Powerful Framework for Stable Dynamic Network Embedding
Ed Davis
Ian Gallagher
Daniel J. Lawson
Patrick Rubin-Delanchy
13
4
0
14 Nov 2023
Semiparametric Modeling and Analysis for Longitudinal Network Data
Semiparametric Modeling and Analysis for Longitudinal Network Data
Yinqiu He
Jiajin Sun
Yuang Tian
Z. Ying
Yang Feng
37
1
0
23 Aug 2023
Gradient-Based Spectral Embeddings of Random Dot Product Graphs
Gradient-Based Spectral Embeddings of Random Dot Product Graphs
Marcelo Fiori
Bernardo Marenco
Federico Larroca
P. Bermolen
Gonzalo Mateos
BDL
27
3
0
25 Jul 2023
Intensity Profile Projection: A Framework for Continuous-Time
  Representation Learning for Dynamic Networks
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks
Alexander Modell
Ian Gallagher
Emma Ceccherini
N. Whiteley
Patrick Rubin-Delanchy
25
1
0
09 Jun 2023
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster
  Analysis and Inference
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference
Joshua Agterberg
Joshua Cape
45
1
0
10 May 2023
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block
  Model
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
Tianxi Cai
Dong Xia
Luwan Zhang
D. Zhou
26
1
0
28 Sep 2022
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
16
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
31
1
0
04 Jul 2021
Spectral embedding for dynamic networks with stability guarantees
Spectral embedding for dynamic networks with stability guarantees
Ian Gallagher
Andrew Jones
Patrick Rubin-Delanchy
26
24
0
02 Jun 2021
Matrix factorisation and the interpretation of geodesic distance
Matrix factorisation and the interpretation of geodesic distance
N. Whiteley
Annie Gray
Patrick Rubin-Delanchy
39
9
0
02 Jun 2021
Latent space models for multiplex networks with shared structure
Latent space models for multiplex networks with shared structure
Peter Macdonald
Elizaveta Levina
Ji Zhu
27
31
0
28 Dec 2020
Nonparametric Two-Sample Hypothesis Testing for Random Graphs with
  Negative and Repeated Eigenvalues
Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues
Joshua Agterberg
M. Tang
Carey Priebe
21
15
0
17 Dec 2020
Spectral clustering on spherical coordinates under the degree-corrected
  stochastic blockmodel
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel
Francesco Sanna Passino
N. Heard
Patrick Rubin-Delanchy
19
14
0
09 Nov 2020
Bias-Variance Tradeoffs in Joint Spectral Embeddings
Bias-Variance Tradeoffs in Joint Spectral Embeddings
Benjamin Draves
D. Sussman
25
9
0
05 May 2020
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
36
48
0
01 Feb 2018
1