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. 1602.04436
  4. Cited By
Autoregressive Moving Average Graph Filtering
v1v2 (latest)

Autoregressive Moving Average Graph Filtering

14 February 2016
Elvin Isufi
Andreas Loukas
Andrea Simonetto
G. Leus
ArXiv (abs)PDFHTML

Papers citing "Autoregressive Moving Average Graph Filtering"

50 / 58 papers shown
Title
Data-Driven Prediction of Dynamic Interactions Between Robot Appendage and Granular Material
Data-Driven Prediction of Dynamic Interactions Between Robot Appendage and Granular Material
Guanjin Wang
Xiangxue Zhao
Shapour Azarm
Balakumar Balachandran
AI4CE
103
0
0
12 Jun 2025
Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs
Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs
Xue Xian Zheng
Weihang Liu
Xin Lou
Stefan Vlaski
Tareq Al-Naffouri
MQ
50
0
0
02 Jun 2025
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
Mihai Cucuringu
Henry Kenlay
Li Zhang
Ning Zhang
Xiaowen Dong
GNNAAML
55
0
0
01 Jun 2025
From ChebNet to ChebGibbsNet
From ChebNet to ChebGibbsNet
Jie M. Zhang
Min-Te Sun
GNN
102
1
0
02 Dec 2024
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural
  Networks with Convolutional ARMA Filters
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters
Kovvuri Sai Gopal Reddy
Bodduluri Saran
A. M. Adityaja
Saurabh J. Shigwan
Nitin Kumar
Snehasis Mukherjee
110
1
0
08 Oct 2024
TRGR: Transmissive RIS-aided Gait Recognition Through Walls
TRGR: Transmissive RIS-aided Gait Recognition Through Walls
Yunlong Huang
Junshuo Liu
Jianan Zhang
Tiebin Mi
Xin Shi
Robert C. Qiu
69
0
0
31 Jul 2024
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural
  Networks
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks
Aref Einizade
Fragkiskos D. Malliaros
Jhony H. Giraldo
AI4TS
55
1
0
29 May 2024
Adaptive Least Mean pth Power Graph Neural Networks
Adaptive Least Mean pth Power Graph Neural Networks
Changran Peng
Yi Yan
E. Kuruoglu
55
0
0
07 May 2024
Adaptive Least Mean Squares Graph Neural Networks and Online Graph
  Signal Estimation
Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation
Yi Yan
Changran Peng
E. Kuruoglu
49
1
0
27 Jan 2024
Fairness-aware Optimal Graph Filter Design
Fairness-aware Optimal Graph Filter Design
O. Deniz Kose
Yanning Shen
Gonzalo Mateos
FaML
77
4
0
22 Oct 2023
Fairness-Aware Graph Filter Design
Fairness-Aware Graph Filter Design
Öykü Deniz Köse
Yanning Shen
Gonzalo Mateos
FaML
58
5
0
20 Mar 2023
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaMLAI4TS
64
6
0
27 Nov 2022
Graph Filters for Signal Processing and Machine Learning on Graphs
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
88
72
0
16 Nov 2022
Learning Optimal Graph Filters for Clustering of Attributed Graphs
Learning Optimal Graph Filters for Clustering of Attributed Graphs
Meiby Ortiz-Bouza
Selin Aviyente
GNN
102
1
0
09 Nov 2022
Graph Filter Transfer via Probability Density Ratio Weighting
Graph Filter Transfer via Probability Density Ratio Weighting
Koki Yamada
48
2
0
26 Oct 2022
GaitFi: Robust Device-Free Human Identification via WiFi and Vision
  Multimodal Learning
GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning
Lang Deng
Jianfei Yang
Shenghai Yuan
Han Zou
Chris Xiaoxuan Lu
Lihua Xie
CVBM
75
44
0
30 Aug 2022
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
Abstract message passing and distributed graph signal processing
Abstract message passing and distributed graph signal processing
Feng Ji
Y. Lu
Wee Peng Tay
Edwin K. P. Chong
115
0
0
09 Jun 2022
Simplicial Convolutional Filters
Simplicial Convolutional Filters
Maosheng Yang
Elvin Isufi
Michael T. Schaub
G. Leus
93
34
0
27 Jan 2022
How Expressive are Transformers in Spectral Domain for Graphs?
How Expressive are Transformers in Spectral Domain for Graphs?
Anson Bastos
Abhishek Nadgeri
Kuldeep Singh
H. Kanezashi
Toyotaro Suzumura
I. Mulang'
83
12
0
23 Jan 2022
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet
  Convolutional Network
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network
M. Behmanesh
Peyman Adibi
M. Ehsani
Jocelyn Chanussot
42
14
0
26 Nov 2021
Graph Denoising with Framelet Regularizer
Graph Denoising with Framelet Regularizer
Bingxin Zhou
Ruikun Li
Xuebin Zheng
Yu Guang Wang
Junbin Gao
58
14
0
05 Nov 2021
MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs
MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs
Jie M. Zhang
Bo Hui
P. Harn
Minmin Sun
Wei-Shinn Ku
76
8
0
14 Oct 2021
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
Stability to Deformations of Manifold Filters and Manifold Neural
  Networks
Stability to Deformations of Manifold Filters and Manifold Neural Networks
Zhiyang Wang
Luana Ruiz
Alejandro Ribeiro
AAML
50
9
0
07 Jun 2021
Node-Variant Graph Filters in Graph Neural Networks
Node-Variant Graph Filters in Graph Neural Networks
Fernando Gama
Brendon G. Anderson
Somayeh Sojoudi
GNN
78
6
0
31 May 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
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs
Sean Li
Dongwoo Kim
Qing Wang
GNN
79
34
0
26 Mar 2021
Graph-Time Convolutional Neural Networks
Graph-Time Convolutional Neural Networks
Elvin Isufi
Gabriele Mazzola
GNNAI4TS
51
15
0
02 Mar 2021
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network
Zhixiang Chen
Tengfei Ma
Zhihua Jin
Yangqiu Song
Yangkun Wang
GNN
78
5
0
14 Jan 2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and
  Beyond
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
Michael T. Schaub
Yu Zhu
Jean-Baptiste Seby
T. Roddenberry
Santiago Segarra
222
149
0
14 Jan 2021
Distributed algorithms to determine eigenvectors of matrices on
  spatially distributed networks
Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks
N. Emirov
Cheng Cheng
Qiyu Sun
Z. Qu
25
4
0
23 Nov 2020
Fast Graph Filters for Decentralized Subspace Projection
Fast Graph Filters for Decentralized Subspace Projection
Daniel Romero
Siavash Mollaebrahim
B. Beferull-Lozano
C. Asensio-Marco
10
5
0
15 Nov 2020
Nonlinear State-Space Generalizations of Graph Convolutional Neural
  Networks
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
Elvin Isufi
GNN
53
0
0
27 Oct 2020
Discriminability of Single-Layer Graph Neural Networks
Discriminability of Single-Layer Graph Neural Networks
Samuel Pfrommer
Fernando Gama
Alejandro Ribeiro
93
10
0
17 Oct 2020
Graph Neural Networks: Architectures, Stability and Transferability
Graph Neural Networks: Architectures, Stability and Transferability
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
138
129
0
04 Aug 2020
Distributed Training of Graph Convolutional Networks
Distributed Training of Graph Convolutional Networks
Simone Scardapane
Indro Spinelli
P. Lorenzo
GNNBDL
93
26
0
13 Jul 2020
Stochastic Graph Neural Networks
Stochastic Graph Neural Networks
Zhan Gao
Elvin Isufi
Alejandro Ribeiro
21
1
0
04 Jun 2020
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph
  Neural Networks
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
Fernando Gama
Elvin Isufi
G. Leus
Alejandro Ribeiro
GNN
137
156
0
08 Mar 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
46
0
27 Feb 2020
EdgeNets:Edge Varying Graph Neural Networks
EdgeNets:Edge Varying Graph Neural Networks
Elvin Isufi
Fernando Gama
Alejandro Ribeiro
GNN
93
82
0
21 Jan 2020
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
Asiri Wijesinghe
Qing Wang
GNN
78
28
0
24 Oct 2019
Distributed Change Detection in Streaming Graph Signals
Distributed Change Detection in Streaming Graph Signals
A. Ferrari
C. Richard
Louis Verduci
46
8
0
15 Oct 2019
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
145
130
0
30 Jul 2019
Generalizing Graph Convolutional Neural Networks with Edge-Variant
  Recursions on Graphs
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs
Elvin Isufi
Fernando Gama
Alejandro Ribeiro
GNN
43
6
0
04 Mar 2019
On the Transferability of Spectral Graph Filters
On the Transferability of Spectral Graph Filters
Ron Levie
Elvin Isufi
Gitta Kutyniok
77
64
0
29 Jan 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
399
0
05 Jan 2019
Blind Community Detection from Low-rank Excitations of a Graph Filter
Blind Community Detection from Low-rank Excitations of a Graph Filter
Hoi-To Wai
Santiago Segarra
Asuman E. Ozdaglar
Anna Scaglione
Ali Jadbabaie
147
45
0
05 Sep 2018
Spectrally approximating large graphs with smaller graphs
Spectrally approximating large graphs with smaller graphs
Andreas Loukas
P. Vandergheynst
70
106
0
21 Feb 2018
12
Next