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Kernel-based Inference of Functions over Graphs

Kernel-based Inference of Functions over Graphs

28 November 2017
V. Ioannidis
Meng Ma
A. Nikolakopoulos
G. Giannakis
Daniel Romero
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Papers citing "Kernel-based Inference of Functions over Graphs"

16 / 16 papers shown
Title
Implicit vs Unfolded Graph Neural Networks
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang
Tang Liu
Yangkun Wang
Zengfeng Huang
David Wipf
179
15
0
12 Nov 2021
Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel
  Kriged Kalman Filtering
Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering
V. Ioannidis
Daniel Romero
G. Giannakis
41
30
0
25 Nov 2017
Randomized Block Frank-Wolfe for Convergent Large-Scale Learning
Randomized Block Frank-Wolfe for Convergent Large-Scale Learning
Liang Zhang
G. Wang
Daniel Romero
G. Giannakis
37
17
0
27 Dec 2016
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
29
88
0
12 Dec 2016
Nonlinear Structural Vector Autoregressive Models for Inferring
  Effective Brain Network Connectivity
Nonlinear Structural Vector Autoregressive Models for Inferring Effective Brain Network Connectivity
Yanning Shen
Brian Baingana
G. Giannakis
40
30
0
20 Oct 2016
Tracking Switched Dynamic Network Topologies from Information Cascades
Tracking Switched Dynamic Network Topologies from Information Cascades
Brian Baingana
G. Giannakis
42
43
0
28 Jun 2016
Kernel-based Reconstruction of Graph Signals
Kernel-based Reconstruction of Graph Signals
Daniel Romero
Meng Ma
G. Giannakis
55
20
0
23 May 2016
Adaptive Least Mean Squares Estimation of Graph Signals
Adaptive Least Mean Squares Estimation of Graph Signals
P. Lorenzo
Sergio Barbarossa
P. Banelli
S. Sardellitti
62
120
0
18 Feb 2016
Signal Representations on Graphs: Tools and Applications
Signal Representations on Graphs: Tools and Applications
Siheng Chen
R. Varma
Aarti Singh
J. Kovacevic
35
35
0
16 Dec 2015
Top-N recommendations in the presence of sparsity: An NCD-based approach
Top-N recommendations in the presence of sparsity: An NCD-based approach
A. Nikolakopoulos
J. Garofalakis
CML
39
13
0
30 Jun 2015
Decentralized learning for wireless communications and networking
Decentralized learning for wireless communications and networking
G. Giannakis
Qing Ling
Gonzalo Mateos
I. Schizas
Hao Zhu
65
88
0
30 Mar 2015
A Probabilistic Interpretation of Sampling Theory of Graph Signals
A Probabilistic Interpretation of Sampling Theory of Graph Signals
Akshay Gadde
Antonio Ortega
82
73
0
23 Mar 2015
Signal Processing on Graphs: Causal Modeling of Unstructured Data
Signal Processing on Graphs: Causal Modeling of Unstructured Data
Jonathan Mei
José M. F. Moura
CML
AI4TS
41
191
0
28 Feb 2015
Localized Iterative Methods for Interpolation in Graph Structured Data
Localized Iterative Methods for Interpolation in Graph Structured Data
S. K. Narang
Akshay Gadde
Eduard Sanou
Antonio Ortega
57
121
0
09 Oct 2013
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
120
3,972
0
31 Oct 2012
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
261
10,522
0
01 Nov 2007
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