Jogl, Fabian

8 publications

TMLR 2025 Maximally Expressive GNNs for Outerplanar Graphs Franka Bause, Fabian Jogl, Patrick Indri, Tamara Drucks, David Penz, Nils Morten Kriege, Thomas Gärtner, Pascal Welke, Maximilian Thiessen

NeurIPSW 2024 Is Expressivity Essential for the Predictive Performance of Graph Neural Networks? Fabian Jogl, Pascal Welke, Thomas Gärtner

ICML 2024 The Expressive Power of Path-Based Graph Neural Networks Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, Franco Scarselli, Thomas Gärtner

NeurIPSW 2024 Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs Fabrizio Frasca, Fabian Jogl, Moshe Eliasof, Matan Ostrovsky, Carola-Bibiane Schönlieb, Thomas Gärtner, Haggai Maron

ICML 2023 Expectation-Complete Graph Representations with Homomorphisms Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner

NeurIPS 2023 Expressivity-Preserving GNN Simulation Fabian Jogl, Maximilian Thiessen, Thomas Gärtner

NeurIPSW 2023 Maximally Expressive GNNs for Outerplanar Graphs Franka Bause, Fabian Jogl, Patrick Indri, Tamara Drucks, David Penz, Nils Kriege, Thomas Gärtner, Pascal Welke, Maximilian Thiessen

ICLRW 2022 Reducing Learning on Cell Complexes to Graphs Fabian Jogl, Maximilian Thiessen, Thomas Gärtner