Fabian Jogl

According to our database, Fabian Jogl authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Graph Representational Learning: When Does More Expressivity Hurt Generalization?

Sohir Maskey, Raffaele Paolino, Fabian Jogl, Gitta Kutyniok, Johannes F. Lutzeyer

CoRR, May, 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

Trans. Mach. Learn. Res., 2025

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

CoRR, 2024

The Expressive Power of Path-Based Graph Neural Networks.

Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, Franco Scarselli, Thomas Gärtner

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Expressivity-Preserving GNN Simulation.

Fabian Jogl, Maximilian Thiessen, Thomas Gärtner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Expectation-Complete Graph Representations with Homomorphisms.

Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner

Proceedings of the International Conference on Machine Learning, 2023

2022

Historian: A Large-Scale Historical Film Dataset with Cinematographic Annotation.

Daniel Helm, Fabian Jogl, Martin Kampel

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

On (Coalitional) Exchange-Stable Matching.

Jiehua Chen, Adrian Chmurovic, Fabian Jogl, Manuel Sorge

Proceedings of the Algorithmic Game Theory - 14th International Symposium, 2021