| Active learning of convex halfspaces on graphs M Thiessen, T Gärtner Advances in Neural Information Processing Systems 34, 23413-23425, 2021 | 36 | 2021 |
| Generalized laplacian positional encoding for graph representation learning S Maskey, A Parviz, M Thiessen, H Stärk, Y Sadikaj, H Maron arXiv preprint arXiv:2210.15956, 2022 | 26 | 2022 |
| Expressivity-preserving GNN simulation F Jogl, M Thiessen, T Gärtner Advances in Neural Information Processing Systems 36, 2023 | 15 | 2023 |
| Expectation-Complete Graph Representations with Homomorphisms P Welke, M Thiessen, F Jogl, T Gärtner Proceedings of the 40th International Conference on Machine Learning (ICML …, 2023 | 14 | 2023 |
| Propensity-score-matched comparison of safety, efficacy, and outcome of intravascular lithotripsy versus high-pressure PTCA in coronary calcified lesions A Aksoy, V Tiyerili, N Jansen, M Al Zaidi, M Thiessen, A Sedaghat, ... IJC Heart & Vasculature 37, 100900, 2021 | 12 | 2021 |
| Maximally expressive GNNs for outerplanar graphs F Bause, F Jogl, P Indri, T Drucks, D Penz, N Kriege, T Gärtner, P Welke, ... Transactions on Machine Learning Research, 2025 | 9 | 2025 |
| A Theory of Interpretable Approximations M Bressan, N Cesa-Bianchi, E Esposito, Y Mansour, S Moran, M Thiessen Proceedings of Thirty Seventh Conference on Learning Theory, 2024 | 9 | 2024 |
| Online learning of convex sets on graphs M Thiessen, T Gärtner Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 9 | 2022 |
| Efficient algorithms for learning monophonic halfspaces in graphs M Bressan, E Esposito, M Thiessen Proceedings of Thirty Seventh Conference on Learning Theory, 2024 | 6 | 2024 |
| Bandits with Abstention under Expert Advice S Pasteris, A Rumi, M Thiessen, S Saito, A Miyauchi, F Vitale, M Herbster Advances in Neural Information Processing Systems, 2024 | 6 | 2024 |
| Weisfeiler and Leman return with graph transformations F Jogl, M Thiessen, T Gärtner # PLACEHOLDER_PARENT_METADATA_VALUE#, 2022 | 5 | 2022 |
| Extending graph neural networks with global features AD Brasoveanu, F Jogl, P Welke, M Thiessen Learning on Graphs Conference, 2023 | 4 | 2023 |
| Active learning of classifiers with label and seed queries M Bressan, N Cesa-Bianchi, S Lattanzi, A Paudice, M Thiessen Advances in Neural Information Processing Systems 35, 30911-30922, 2022 | 4 | 2022 |
| Active Learning on Graphs with Geodesically Convex Classes M Thiessen, T Gärtner Mining and Learning with Graphs (MLG), 2020 | 4 | 2020 |
| Expectation Complete Graph Representations using Graph Homomorphisms P Welke, M Thiessen, T Gärtner Learning on Graphs Conference, 2022 | 3 | 2022 |
| Reducing learning on cell complexes to graphs F Jogl, M Thiessen, T Gärtner ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022 | 3 | 2022 |
| Improving a Branch-and-Bound Approach for the Degree-Constrained Minimum Spanning Tree Problem with LKH M Thiessen, L Quesada, KN Brown International Conference on Integration of Constraint Programming …, 2020 | 2 | 2020 |
| Self-Directed Node Classification on Graphs G Sokolov, M Thiessen, M Akhmejanova, F Vitale, F Orabona 36th International Conference on Algorithmic Learning Theory, 2025 | 1 | 2025 |
| Of Dice and Games: A Theory of Generalized Boosting M Bressan, N Brukhim, N Cesa-Bianchi, E Esposito, Y Mansour, S Moran, ... arXiv preprint arXiv:2412.08012, 2024 | 1 | 2024 |
| Expectation complete graph representations using graph homomorphisms M Thiessen, P Welke, T Gärtner NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022 | 1 | 2022 |
Thomas GärtnerTU Wien (Technical University of Vienna)Verified email at tuwien.ac.at
