| Expectation-Complete Graph Representations with Homomorphisms P Welke, M Thiessen, F Jogl, T Gärtner Proceedings of the 40th International Conference on Machine Learning, 2023 | 5 | 2023 |
| On (coalitional) exchange-stable matching J Chen, A Chmurovic, F Jogl, M Sorge Algorithmic Game Theory: 14th International Symposium, SAGT 2021, Aarhus …, 2021 | 4 | 2021 |
| Expressivity-preserving GNN simulation F Jogl, M Thiessen, T Gärtner Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Weisfeiler and Leman Return with Graph Transformations F Jogl, M Thiessen, T Gärtner 18th International Workshop on Mining and Learning with Graphs, 2022 | 3 | 2022 |
| Maximally expressive GNNs for outerplanar graphs F Bause, F Jogl, P Indri, T Drucks, D Penz, N Kriege, T Gärtner, P Welke, ... NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 2 | 2023 |
| HISTORIAN: A Large-Scale Historical Film Dataset with Cinematographic Annotation D Helm, F Jogl, M Kampel 2022 IEEE International Conference on Image Processing (ICIP), 2087-2091, 2022 | 2 | 2022 |
| Reducing learning on cell complexes to graphs F Jogl, M Thiessen, T Gärtner ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022 | 2 | 2022 |
| Extending Graph Neural Networks with Global Features AD Brasoveanu, F Jogl, P Welke, M Thiessen The Second Learning on Graphs Conference, 2023 | | 2023 |
| Do we need to Improve Message Passing? F Jogl | | 2022 |
| Do we need to Improve message passing? Improving graph neural networks with graph transformations F Jogl Technische Universität Wien, 2022 | | 2022 |
