Robustness of Graph Neural Networks

Robustness of Graph Neural Networks

Explore the robustness of Graph Neural Networks in this 56-minute webinar presented by Stephan Gunnemann from Technical University of Munich. Delve into improving robustness techniques, analyze nonadaptive attacks, and understand robustness certificates. Examine whitebox and graybox certificates, graph models, and collective reasoning. Part of the Data sciEnce on GrAphS (DEGAS) Webinar Series, this presentation offers valuable insights for researchers and practitioners in the field of graph-based machine learning and signal processing.