| Attending to Graph Transformers L Müller, M Galkin, C Morris, L Rampášek arXiv preprint arXiv:2302.04181, 2023 | 62 | 2023 |
| Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets D Beaini, S Huang, JA Cunha, G Moisescu-Pareja, O Dymov, ... arXiv preprint arXiv:2310.04292, 2023 | 7 | 2023 |
| On reachable assignments in cycles and cliques L Müller, M Bentert arXiv preprint arXiv:2005.02218, 2020 | 6 | 2020 |
| On Reachable Assignments in Cycles L Müller, M Bentert Algorithmic Decision Theory: 7th International Conference, ADT 2021 …, 2021 | 3 | 2021 |
| : A Parameter-Efficient Foundation Model for Molecular Learning K Kläser, B Banaszewski, S Maddrell-Mander, C McLean, L Müller, ... arXiv preprint arXiv:2404.14986, 2024 | | 2024 |
| Towards Principled Graph Transformers L Müller, C Morris arXiv preprint arXiv:2401.10119, 2024 | | 2024 |
Matthias BentertUiBVerified email at uib.no
Matthias BentertUiBVerified email at uib.no