Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction-Reference-Cited by-同舟云学术

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Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction

Published:2024-09 Issue:9 Volume:35 Page:11734-11745
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Castro-Correa Jhon A.¹^ORCID,Giraldo Jhony H.²^ORCID,Badiey Mohsen¹^ORCID,Malliaros Fragkiskos D.³

Affiliation:

1. Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA

2. LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France

3. Université Paris-Saclay, CentraleSupélec, Inria, Centre for Visual Computing (CVN), Gif-sur-Yvette, France

Funder

French National Research Agency (ANR) under the Jeunes Chercheuses et Jeunes Chercheurs (JCJC) project GraphIA

Office of Naval Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/10663876/10496245.pdf?arnumber=10496245

Reference70 articles.

1. Graph Signal Processing: Overview, Challenges, and Applications

2. Semi-supervised classification with graph convolutional networks;Kipf

3. A Comprehensive Survey on Graph Neural Networks

4. Geometric Deep Learning: Going beyond Euclidean data

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