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Distributed Autoregressive Moving Average Graph Filters

Distributed Autoregressive Moving Average Graph Filters

24 April 2015
Andreas Loukas
Andrea Simonetto
G. Leus
ArXiv (abs)PDFHTML

Papers citing "Distributed Autoregressive Moving Average Graph Filters"

14 / 14 papers shown
Title
Distributed Optimisation with Linear Equality and Inequality Constraints
  using PDMM
Distributed Optimisation with Linear Equality and Inequality Constraints using PDMM
Richard Heusdens
Guoqiang Zhang
121
9
0
22 Sep 2023
Infinite Impulse Response Graph Neural Networks for Cyberattack
  Localization in Smart Grids
Infinite Impulse Response Graph Neural Networks for Cyberattack Localization in Smart Grids
Osman Boyaci
M. Narimani
K. Davis
E. Serpedin
73
8
0
25 Jun 2022
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
160
20
0
21 Jul 2021
Joint Detection and Localization of Stealth False Data Injection Attacks
  in Smart Grids using Graph Neural Networks
Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks
Osman Boyaci
M. Narimani
K. Davis
Muhammad Ismail
T. Overbye
E. Serpedin
110
94
0
24 Apr 2021
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of
  Design Considerations, and Numerical Comparison (Extended Cut)
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison (Extended Cut)
D. Shuman
61
45
0
19 Jun 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph
  Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
87
45
0
27 Feb 2020
Distributed Change Detection in Streaming Graph Signals
Distributed Change Detection in Streaming Graph Signals
A. Ferrari
C. Richard
Louis Verduci
44
8
0
15 Oct 2019
Approximating Spectral Clustering via Sampling: a Review
Approximating Spectral Clustering via Sampling: a Review
Nicolas M Tremblay
Andreas Loukas
70
46
0
29 Jan 2019
Graph Neural Networks with convolutional ARMA filters
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
GNN
128
396
0
05 Jan 2019
Fast Approximate Spectral Clustering for Dynamic Networks
Fast Approximate Spectral Clustering for Dynamic Networks
Lionel Martin
Andreas Loukas
P. Vandergheynst
133
18
0
12 Jun 2017
A Time-Vertex Signal Processing Framework
A Time-Vertex Signal Processing Framework
Francesco Grassi
Andreas Loukas
Nathanael Perraudin
B. Ricaud
69
174
0
05 May 2017
Stationary time-vertex signal processing
Stationary time-vertex signal processing
Andreas Loukas
Nathanael Perraudin
110
48
0
01 Nov 2016
Autoregressive Moving Average Graph Filtering
Autoregressive Moving Average Graph Filtering
Elvin Isufi
Andreas Loukas
Andrea Simonetto
G. Leus
161
245
0
14 Feb 2016
Distributed Signal Processing via Chebyshev Polynomial Approximation
Distributed Signal Processing via Chebyshev Polynomial Approximation
D. Shuman
P. Vandergheynst
D. Kressner
P. Frossard
100
115
0
22 Nov 2011
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