Result: Weisfeiler-Lehman goes dynamic: an analysis of the expressive power of graph neural networks for attributed and dynamic graphs

*Title*:

Weisfeiler-Lehman goes dynamic: an analysis of the expressive power of graph neural networks for attributed and dynamic graphs / Silvia Beddar-Wiesing, Guiseppe Alessio D’Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas

*Author/editor-in-chief*:

*Published in*:

Enthalten in : Neural Networks. - 2024. - 10.1016/j.neunet.2024.106213. - ISSN 0893-6080. - Volume 173, Issue, Article 106213

*Publication*:

Amsterdam : Elsevier, 2024

*Distribution*:

Kassel : Universitätsbibliothek Kassel

*Physical description scale*:

1 Online-Ressource (16 Seiten)

*Format*:

*eBook*

*Language*:

*eng*

*Subject Added Keywords*:

*DOI*:

10.17170/kobra-202403139766

*oa_rights*:

Open Access
CC BY 4.0

*Result*: Weisfeiler-Lehman goes dynamic: an analysis of the expressive power of graph neural networks for attributed and dynamic graphs