no code implementations • 2 Jan 2023 • Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, Stephan Günnemann
We propose to solve this issue by training graph neural networks on disjoint subgraphs of a given training graph.
no code implementations • 9 Jul 2022 • Morgane Ayle, Bertrand Charpentier, John Rachwan, Daniel Zügner, Simon Geisler, Stephan Günnemann
The robustness and anomaly detection capability of neural networks are crucial topics for their safe adoption in the real-world.
1 code implementation • 21 Jun 2022 • John Rachwan, Daniel Zügner, Bertrand Charpentier, Simon Geisler, Morgane Ayle, Stephan Günnemann
Pruning, the task of sparsifying deep neural networks, received increasing attention recently.
no code implementations • ICLR 2022 • Daniel Zügner, Bertrand Charpentier, Morgane Ayle, Sascha Geringer, Stephan Günnemann
We propose a novel probabilistic model over hierarchies on graphs obtained by continuous relaxation of tree-based hierarchies.