| 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 | 242 | 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 | 23 | 2017 |
| Learning MSO-definable hypotheses on string M Grohe, C Löding, M Ritzert arXiv preprint arXiv:1708.08081, 2017 | 12 | 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 | 3 | 2019 |
| Graph Neural Networks for Maximum Constraint Satisfaction JM Tönshoff, M Ritzert, H Wolf, M Grohe Frontiers in Artificial Intelligence 3, 98, 2020 | 2 | 2020 |
| Learning Definable Hypotheses on Trees E Grienenberger, M Ritzert 22nd International Conference on Database Theory (ICDT 2019), 2019 | 1 | 2019 |
| 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 | | 2020 |
Martin GroheProfessor of Computer Science, RWTH Aachen UniversityVerified email at informatik.rwth-aachen.de
