BEDDAR-WIESING, Silvia, THOMAS, Josephine Maria, MOALLEMY-OUREH, Alice, D’INVERNO, Giuseppe Alessio, GRAZIANI, Caterina, SCARSELLI, Franco und LACHI, Veronica, 2024. Weisfeiler-Lehman goes dynamic: an analysis of the expressive power of graph neural networks for attributed and dynamic graphs. Amsterdam: Elsevier.
Elsevier - Harvard (with titles)Beddar-Wiesing, S., Thomas, J.M., Moallemy-Oureh, A., D’Inverno, G.A., Graziani, C., Scarselli, F., Lachi, V., 2024. Weisfeiler-Lehman goes dynamic: an analysis of the expressive power of graph neural networks for attributed and dynamic graphs, Neural Networks. Elsevier, Amsterdam. https://doi.org/10.17170/kobra-202403139766
American Psychological Association 7th editionBeddar-Wiesing, S., Thomas, J. M., Moallemy-Oureh, A., D’Inverno, G. A., Graziani, C., Scarselli, F., & Lachi, V. (ca. 2024). Weisfeiler-Lehman goes dynamic: an analysis of the expressive power of graph neural networks for attributed and dynamic graphs [Cd]. In Neural Networks. Elsevier. https://doi.org/10.17170/kobra-202403139766
Springer - Basic (author-date)Beddar-Wiesing S, Thomas JM, Moallemy-Oureh A, D’Inverno GA, Graziani C, Scarselli F, Lachi V (2024) Weisfeiler-Lehman goes dynamic: an analysis of the expressive power of graph neural networks for attributed and dynamic graphs. Elsevier, Amsterdam
Juristische Zitierweise (Stüber) (Deutsch)Beddar-Wiesing, Silvia/ Thomas, Josephine Maria/ Moallemy-Oureh, Alice/ D’Inverno, Giuseppe Alessio/ Graziani, Caterina/ Scarselli, Franco/ Lachi, Veronica, Weisfeiler-Lehman goes dynamic: an analysis of the expressive power of graph neural networks for attributed and dynamic graphs, Amsterdam 2024.