| Weisfeiler and leman go neural: Higher-order graph neural networks C Morris, M Ritzert, M Fey, WL Hamilton, JE Lenssen, G Rattan, M Grohe Proceedings of the AAAI Conference on Artificial Intelligence 33, 4602-4609, 2019 | 278 | 2019 |
| Learning first-order definable concepts over structures of small degree M Grohe, M Ritzert 2017 32nd Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 1-12, 2017 | 24 | 2017 |
| Learning MSO-definable hypotheses on strings M Grohe, C Löding, M Ritzert International Conference on Algorithmic Learning Theory, 434-451, 2017 | 13 | 2017 |
| RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems J Toenshoff, M Ritzert, H Wolf, M Grohe arXiv preprint arXiv:1909.08387, 2019 | 4 | 2019 |
| Graph neural networks for maximum constraint satisfaction J Toenshoff, M Ritzert, H Wolf, M Grohe Frontiers in artificial intelligence 3, 98, 2021 | 2 | 2021 |
| Learning Definable Hypotheses on Trees E Grienenberger, M Ritzert 22nd International Conference on Database Theory (ICDT 2019), 2019 | 2 | 2019 |
| Graph Learning with 1D Convolutions on Random Walks J Toenshoff, M Ritzert, H Wolf, M Grohe arXiv preprint arXiv:2102.08786, 2021 | 1 | 2021 |
| The Effects of Randomness on the Stability of Node Embeddings T Schumacher, H Wolf, M Ritzert, F Lemmerich, J Bachmann, F Frantzen, ... arXiv preprint arXiv:2005.10039, 2020 | 1 | 2020 |
| On the Parameterized Complexity of Learning Logic S van Bergerem, M Grohe, M Ritzert arXiv preprint arXiv:2102.12201, 2021 | | 2021 |
Martin GroheProfessor of Computer Science, RWTH Aachen UniversityVerified email at informatik.rwth-aachen.de
