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The multilayer random dot product graph
v1v2v3 (latest)

The multilayer random dot product graph

20 July 2020
Andrew Jones
Patrick Rubin-Delanchy
ArXiv (abs)PDFHTML

Papers citing "The multilayer random dot product graph"

23 / 23 papers shown
Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
Haruka Ezoe
Hiroki Matsumoto
Ryohei Hisano
159
0
0
18 Aug 2025
Perfect Clustering in Very Sparse Diverse Multiplex Networks
Perfect Clustering in Very Sparse Diverse Multiplex Networks
Marianna Pensky
196
0
0
25 Jul 2025
Tensor State Space-based Dynamic Multilayer Network Modeling
Tensor State Space-based Dynamic Multilayer Network Modeling
Tian-Shing Lan
Jie Guo
Chen Zhang
270
1
0
03 Jun 2025
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
Raphaël Romero
T. D. Bie
Nick Heard
Alexander Modell
359
2
0
01 Jun 2025
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Unsupervised Attributed Dynamic Network Embedding with Stability GuaranteesConference on Uncertainty in Artificial Intelligence (UAI), 2025
Emma Ceccherini
Ian Gallagher
Andrew Jones
Daniel J. Lawson
389
0
0
04 Mar 2025
Generalized Grade-of-Membership Estimation for High-dimensional Locally
  Dependent Data
Generalized Grade-of-Membership Estimation for High-dimensional Locally Dependent Data
Ling Chen
Chengzhu Huang
Yuqi Gu
272
0
0
27 Dec 2024
Valid Conformal Prediction for Dynamic GNNs
Valid Conformal Prediction for Dynamic GNNs
Ed Davis
Ian Gallagher
Daniel J. Lawson
Patrick Rubin-Delanchy
AI4CE
593
7
0
29 May 2024
Computational Approaches for Exponential-Family Factor Analysis
Computational Approaches for Exponential-Family Factor Analysis
Liang Wang
Luis Carvalho
306
2
0
22 Mar 2024
Signed Diverse Multiplex Networks: Clustering and Inference
Signed Diverse Multiplex Networks: Clustering and Inference
Marianna Pensky
353
8
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
380
5
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
279
6
0
23 Aug 2023
Gradient-Based Spectral Embeddings of Random Dot Product Graphs
Gradient-Based Spectral Embeddings of Random Dot Product GraphsIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2023
Marcelo Fiori
Bernardo Marenco
Federico Larroca
P. Bermolen
Gonzalo Mateos
BDL
354
4
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 NetworksNeural Information Processing Systems (NeurIPS), 2023
Alexander Modell
Ian Gallagher
Emma Ceccherini
N. Whiteley
Patrick Rubin-Delanchy
356
6
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
209
2
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
250
2
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
319
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
308
3
0
04 Jul 2021
Spectral embedding for dynamic networks with stability guarantees
Spectral embedding for dynamic networks with stability guaranteesNeural Information Processing Systems (NeurIPS), 2021
Ian Gallagher
Andrew Jones
Patrick Rubin-Delanchy
262
31
0
02 Jun 2021
Matrix factorisation and the interpretation of geodesic distance
Matrix factorisation and the interpretation of geodesic distanceNeural Information Processing Systems (NeurIPS), 2021
N. Whiteley
Annie Gray
Patrick Rubin-Delanchy
421
12
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
232
43
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
195
16
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
437
16
0
09 Nov 2020
Bias-Variance Tradeoffs in Joint Spectral Embeddings
Bias-Variance Tradeoffs in Joint Spectral Embeddings
Benjamin Draves
D. Sussman
422
11
0
05 May 2020
1
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