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Distributed Signal Processing via Chebyshev Polynomial Approximation
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2011
22 November 2011
D. Shuman
P. Vandergheynst
D. Kressner
P. Frossard
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Papers citing
"Distributed Signal Processing via Chebyshev Polynomial Approximation"
21 / 21 papers shown
Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach
Yichun Yang
Rong-Hua Li
Meihao Liao
Longlong Lin
Guoren Wang
306
2
0
14 Dec 2024
SHyPar: A Spectral Coarsening Approach to Hypergraph Partitioning
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024
Hamed Sajadinia
Ali Aghdaei
Zhuo Feng
395
1
0
09 Oct 2024
Graph Filters for Signal Processing and Machine Learning on Graphs
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
373
134
0
16 Nov 2022
Learning Optimal Graph Filters for Clustering of Attributed Graphs
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
Meiby Ortiz-Bouza
Selin Aviyente
GNN
366
2
0
09 Nov 2022
Probabilistic partition of unity networks for high-dimensional regression problems
International Journal for Numerical Methods in Engineering (IJNME), 2022
Tiffany Fan
N. Trask
M. DÉlia
Eric F. Darve
247
2
0
06 Oct 2022
Analysis of the Spatio-temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
R. Geng
Yixian Gao
Hongkun Zhang
Jian Zu
258
7
0
28 Jul 2022
Learning Stochastic Graph Neural Networks with Constrained Variance
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Zhan Gao
Elvin Isufi
299
8
0
29 Jan 2022
Simplicial Convolutional Filters
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Maosheng Yang
Elvin Isufi
Michael T. Schaub
G. Leus
379
40
0
27 Jan 2022
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations
Signal Processing (Signal Process.), 2021
Zhangyang Gao
Elvin Isufi
Alejandro Ribeiro
GNN
187
27
0
19 Jun 2021
Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks
Signal Processing (SP), 2020
N. Emirov
Cheng Cheng
Qiyu Sun
Z. Qu
150
4
0
23 Nov 2020
Unrolling of Deep Graph Total Variation for Image Denoising
Huy Vu
Gene Cheung
Yonina C. Eldar
330
25
0
21 Oct 2020
Gasper: GrAph Signal ProcEssing in R
Basile de Loynes
F. Navarro
Baptiste Olivier
259
2
0
21 Jul 2020
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison (Extended Cut)
D. Shuman
310
50
0
19 Jun 2020
Stochastic Graph Neural Networks
Zhan Gao
Elvin Isufi
Alejandro Ribeiro
189
2
0
04 Jun 2020
EdgeNets:Edge Varying Graph Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Elvin Isufi
Fernando Gama
Alejandro Ribeiro
GNN
245
94
0
21 Jan 2020
Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020
Roula Nassif
Stefan Vlaski
C. Richard
Jie Chen
Ali H. Sayed
346
90
0
07 Jan 2020
A literature survey of matrix methods for data science
GAMM-Mitteilungen (GAMM), 2019
Martin Stoll
322
22
0
17 Dec 2019
L
γ
L^γ
L
γ
-PageRank for Semi-Supervised Learning
Esteban Bautista
P. Abry
Paulo Gonçalves
107
15
0
11 Mar 2019
Learning over Multitask Graphs -- Part II: Performance Analysis
Roula Nassif
Stefan Vlaski
Cedric Richard
Ali H. Sayed
220
14
0
22 May 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
666
312
0
01 May 2018
Fast Approximate Spectral Clustering for Dynamic Networks
International Conference on Machine Learning (ICML), 2017
Lionel Martin
Andreas Loukas
P. Vandergheynst
309
20
0
12 Jun 2017
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