WA3a.4

Generalization of Geometric Graph Neural Networks

Zhiyang Wang, Juan Cervino, Alejandro Ribeiro, University of Pennsylvania, United States
Session:
WA3a: Understanding Graph Neural Networks Lecture
Track:
Networks and Graphs
Location:
Scripps
Presentation Time:
Wed, 30 Oct, 09:30 - 09:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session WA3a
WA3a.1: Graph Signal Representations
José M. F. Moura, Carnegie Mellon University, United States
WA3a.2: Graph-tuple neural networks and their graphon limits.
Mauricio Velasco, Universidad Catolica del Uruguay (UCU), Uruguay; Soledad Villar, Kaiying Xie, Johns Hopkins University (JHU), United States; Bernardo Rychtenberg, Universidad Catolica del Uruguay (UCU), United States
WA3a.3: Seeking universal approximation for continuous counterparts of GNNs on large random graphs
Matthieu Cordonnier, Université Grenobles Alpes, France; Nicolas Keriven, CNRS, IRISA, France; Nicolas Tremblay, CNRS, Gipsa-lab, France; Samuel Vaiter, CNRS, LJAD, France
WA3a.4: Generalization of Geometric Graph Neural Networks
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro, University of Pennsylvania, United States
Contacts