MulStepNET: stronger multi-step graph convolutional networks via multi-power adjacency matrix combination

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1868-5145
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
MulStepNET: stronger multi-step graph convolutional networks via multi-power adjacency matrix combination ; day:6 ; month:8 ; year:2021 ; pages:1-10
Journal of ambient intelligence and humanized computing ; (6.8.2021), 1-10

Creator
Liu, Xun
Lei, Fangyuan
Xia, Guoqing
Contributor
SpringerLink (Online service)

DOI
10.1007/s12652-021-03355-x
URN
urn:nbn:de:101:1-2021103021342139660122
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:32 AM CEST

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Associated

  • Liu, Xun
  • Lei, Fangyuan
  • Xia, Guoqing
  • SpringerLink (Online service)

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