Author of the publication

Weisfeiler–Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs

, , , , , , and . Neural Networks, (2024)
DOI: 10.1016/j.neunet.2024.106213

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Weisfeiler–Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs, , , , , , and . Neural Networks, (2024)Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs., , , , , , and . Neural Networks, (2024)A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles., , , , , , , , and . Algorithms, 15 (8): 274 (2022)Health risk assessment of zoonotic infections agents through plant products in areas with high livestock pressure., , , , , and . HealthGIS, page 72-74. ACM, (2012)Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs., , , , , , and . CoRR, (2022)On the Extension of the Weisfeiler-Lehman Hierarchy by WL Tests for Arbitrary Graphs, , , , , and . Workshp on Mining and Learning on Graphs (MLG), ECML PKDD, page 1--13. (2022)Enhancing Embedding Representations of Biomedical Data using Logic Knowledge., , , , , and . IJCNN, page 1-8. IEEE, (2023)