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...

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Vydané v:	Applied and computational harmonic analysis Ročník 63; s. 48 - 83
Hlavní autori:	Maskey, Sohir, Levie, Ron, Kutyniok, Gitta
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.03.2023
Predmet:	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
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