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Spectral embedding for dynamic networks with stability guarantees
v1v2 (latest)

Spectral embedding for dynamic networks with stability guarantees

2 June 2021
Ian Gallagher
Andrew Jones
Patrick Rubin-Delanchy
ArXiv (abs)PDFHTML

Papers citing "Spectral embedding for dynamic networks with stability guarantees"

11 / 11 papers shown
Title
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Emma Ceccherini
Ian Gallagher
Andrew Jones
Daniel J. Lawson
97
0
0
04 Mar 2025
Principal Graph Encoder Embedding and Principal Community Detection
Principal Graph Encoder Embedding and Principal Community Detection
Cencheng Shen
Yuexiao Dong
Carey E. Priebe
Jonathan Larson
Ha Trinh
Youngser Park
126
1
0
24 Jan 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
56
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
239
4
0
29 May 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
Cencheng Shen
Jonathan Larson
Ha Trinh
Carey E. Priebe
92
2
0
21 May 2024
Dynamic clustering for heterophilic stochastic block models with
  time-varying node memberships
Dynamic clustering for heterophilic stochastic block models with time-varying node memberships
Kevin Z Lin
Jing Lei
67
2
0
08 Mar 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
88
4
0
14 Nov 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
78
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
64
4
0
09 Jun 2023
Synergistic Graph Fusion via Encoder Embedding
Synergistic Graph Fusion via Encoder Embedding
Cencheng Shen
Carey E. Priebe
Jonathan Larson
Ha Trinh
AI4CE
87
7
0
31 Mar 2023
The Importance of Being Correlated: Implications of Dependence in Joint
  Spectral Inference across Multiple Networks
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks
Konstantinos Pantazis
A. Athreya
Jesús Arroyo
W. Frost
E. Hill
V. Lyzinski
85
12
0
01 Aug 2020
1