Uncertainty for Active Learning on Graphs. - Dominik Fuchsgruber; Tom Wollschläger; Bertrand Charpentier; Antonio Oroz; Stephan Günnemann (ICML, 2024)

Energy-based Epistemic Uncertainty for Graph Neural Networks. - Dominik Fuchsgruber; Tom Wollschläger; Stephan Günnemann (NeurIPS, 2024)

Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance. - Dominik Fuchsgruber; Tim Postuvan; Stephan Günnemann; Simon Geisler (ICLR, 2025)

Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation. - Sebastian Schmidt 006; Julius Körner; Dominik Fuchsgruber; Stefano Gasperini; Federico Tombari; Stephan Günnemann (CoRR, 2025)

Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory. - Dominik Fuchsgruber; Tom Wollschläger; Johannes Bordne; Stephan Günnemann (CoRR, 2025)