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Kernel-based Reconstruction of Graph Signals

Kernel-based Reconstruction of Graph Signals

23 May 2016
Daniel Romero
Meng Ma
G. Giannakis
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Papers citing "Kernel-based Reconstruction of Graph Signals"

17 / 17 papers shown
Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
42
2
0
28 Oct 2024
Online Graph Filtering Over Expanding Graphs
Online Graph Filtering Over Expanding Graphs
Bishwadeep Das
Elvin Isufi
37
0
0
11 Sep 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
Jhon A. Castro-Correa
Jhony H. Giraldo
Mohsen Badiey
Fragkiskos D. Malliaros
36
7
0
28 Mar 2024
Time-varying Signals Recovery via Graph Neural Networks
Time-varying Signals Recovery via Graph Neural Networks
Jhon A. Castro-Correa
Jhony H. Giraldo
Anindya Mondal
Mohsen Badiey
T. Bouwmans
Fragkiskos D. Malliaros
AI4TS
32
10
0
22 Feb 2023
Graph Filter Transfer via Probability Density Ratio Weighting
Graph Filter Transfer via Probability Density Ratio Weighting
Koki Yamada
21
2
0
26 Oct 2022
Gaussian Kernel Variance For an Adaptive Learning Method on Signals Over
  Graphs
Gaussian Kernel Variance For an Adaptive Learning Method on Signals Over Graphs
Yue Zhao
E. Ayanoglu
16
2
0
26 Apr 2022
Graph Signal Reconstruction Techniques for IoT Air Pollution Monitoring
  Platforms
Graph Signal Reconstruction Techniques for IoT Air Pollution Monitoring Platforms
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
19
6
0
02 Jan 2022
Non-separable Spatio-temporal Graph Kernels via SPDEs
Non-separable Spatio-temporal Graph Kernels via SPDEs
A. Nikitin
S. T. John
Arno Solin
Samuel Kaski
AI4TS
27
17
0
16 Nov 2021
Multiple Kernel Representation Learning on Networks
Multiple Kernel Representation Learning on Networks
Abdulkadir Çelikkanat
Yanning Shen
Fragkiskos D. Malliaros
13
5
0
09 Jun 2021
Reconstructing nodal pressures in water distribution systems with graph
  neural networks
Reconstructing nodal pressures in water distribution systems with graph neural networks
Gergely Hajgató
Bálint Gyires-Tóth
Gyorgy Paál
20
14
0
28 Apr 2021
Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis
  Functions
Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions
W. Erb
14
9
0
17 Mar 2020
Online Graph-Adaptive Learning with Scalability and Privacy
Online Graph-Adaptive Learning with Scalability and Privacy
Yanning Shen
G. Leus
G. Giannakis
24
32
0
03 Dec 2018
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs
V. Ioannidis
Yanning Shen
G. Giannakis
30
57
0
16 May 2018
Graph Signal Sampling via Reinforcement Learning
Graph Signal Sampling via Reinforcement Learning
Oleksii Abramenko
A. Jung
24
5
0
15 May 2018
Gaussian Processes Over Graphs
Gaussian Processes Over Graphs
Arun Venkitaraman
S. Chatterjee
P. Händel
11
37
0
15 Mar 2018
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling
  Strategies
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies
P. Di Lorenzo
P. Banelli
Elvin Isufi
Sergio Barbarossa
G. Leus
24
86
0
12 Sep 2017
Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs
Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs
Daniel Romero
V. Ioannidis
G. Giannakis
8
86
0
12 Dec 2016
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