Fabian Jogl

11 papers A* 3B 2Journal 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Graph Representational Learning: When Does More Expressivity Hurt Generalization?
CoRR
Sohir Maskey, Raffaele Paolino, Fabian Jogl, Gitta Kutyniok, Johannes F. Lutzeyer
2025 J jnl
Maximally Expressive GNNs for Outerplanar Graphs.
Trans. Mach. Learn. Res.
Franka Bause, Fabian Jogl, Patrick Indri, Tamara Drucks, David Penz, Nils Morten Kriege, Thomas Gärtner, Pascal Welke, Maximilian Thiessen
2025 J jnl
Message Passing on the Edge: Towards Scalable and Expressive GNNs.
CoRR
Pablo Barceló, Fabian Jogl, Alexander Kozachinskiy, Matthias Lanzinger, Stefan Neumann, Cristóbal Rojas
2024 A* conf
The Expressive Power of Path-Based Graph Neural Networks.
ICML
Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, Franco Scarselli, Thomas Gärtner
2024 J jnl
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs.
CoRR
Fabrizio Frasca, Fabian Jogl, Moshe Eliasof, Matan Ostrovsky, Carola-Bibiane Schönlieb, Thomas Gärtner, Haggai Maron
2023 A* conf
Expectation-Complete Graph Representations with Homomorphisms.
ICML
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner
2023 J jnl
Expectation-Complete Graph Representations with Homomorphisms.
CoRR
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner
2023 A* conf
Expressivity-Preserving GNN Simulation.
NeurIPS
Fabian Jogl, Maximilian Thiessen, Thomas Gärtner
2022 B conf
Historian: A Large-Scale Historical Film Dataset with Cinematographic Annotation.
ICIP
Daniel Helm, Fabian Jogl, Martin Kampel
2021 B conf
On (Coalitional) Exchange-Stable Matching.
SAGT
Jiehua Chen, Adrian Chmurovic, Fabian Jogl, Manuel Sorge
2021 J jnl
On (Coalitional) Exchange-Stable Matching.
CoRR
Jiehua Chen, Adrian Chmurovic, Fabian Jogl, Manuel Sorge