Transferability of graph neural networks: An extended graphon approach

We study spectral graph convolutional neural networks (GCNNs), where filters are defined as continuous functions of the graph shift operator (GSO) through functional calculus. A spectral GCNN is not tailored to one specific graph and can be transferred between different graphs. It is hence important...

Full description

Bibliographic Details

Published in:	Applied and computational harmonic analysis Vol. 63; pp. 48 - 83
Main Authors:	Maskey, Sohir, Levie, Ron, Kutyniok, Gitta
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.03.2023
Subjects:	Generalization Graph neural network Graphon Spectral methods Stability Transferability Graphon Stability Graph neural network 68T07 Transferability 68R10 Generalization 47A60 Spectral methods
ISSN:	1063-5203, 1096-603X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!