ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.01204
  4. Cited By
Laplacian Change Point Detection for Single and Multi-view Dynamic
  Graphs

Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs

2 February 2023
Shenyang Huang
Samy Coulombe
Yasmeen Hitti
Reihaneh Rabbany
Guillaume Rabusseau
ArXiv (abs)PDFHTML

Papers citing "Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs"

10 / 10 papers shown
Title
Fast and Attributed Change Detection on Dynamic Graphs with Density of
  States
Fast and Attributed Change Detection on Dynamic Graphs with Density of States
Shenyang Huang
Jacob Danovitch
Guillaume Rabusseau
Reihaneh Rabbany
36
7
0
15 May 2023
Laplacian Change Point Detection for Dynamic Graphs
Laplacian Change Point Detection for Dynamic Graphs
Shenyang Huang
Yasmeen Hitti
Guillaume Rabusseau
Reihaneh Rabbany
42
59
0
02 Jul 2020
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
257
7,705
0
01 Oct 2018
The Power Mean Laplacian for Multilayer Graph Clustering
The Power Mean Laplacian for Multilayer Graph Clustering
Pedro Mercado
A. Gautier
Francesco Tudisco
Matthias Hein
37
28
0
01 Mar 2018
Fast Change Point Detection on Dynamic Social Networks
Fast Change Point Detection on Dynamic Social Networks
Yu Wang
Aniket Chakrabarti
David J Sivakoff
Srinivasan Parthasarathy
26
53
0
20 May 2017
Frequency Domain Singular Value Decomposition for Efficient Spatial
  Audio Coding
Frequency Domain Singular Value Decomposition for Efficient Spatial Audio Coding
S. Zamani
Tejaswi Nanjundaswamy
K. Rose
35
12
0
10 May 2017
TensorLy: Tensor Learning in Python
TensorLy: Tensor Learning in Python
Jean Kossaifi
Yannis Panagakis
Anima Anandkumar
Maja Pantic
64
355
0
29 Oct 2016
Structure and inference in annotated networks
Structure and inference in annotated networks
Mark E. J. Newman
A. Clauset
81
351
0
14 Jul 2015
Detecting change points in the large-scale structure of evolving
  networks
Detecting change points in the large-scale structure of evolving networks
Leto Peel
A. Clauset
79
239
0
05 Mar 2014
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
290
10,544
0
01 Nov 2007
1