Martin Ritzert

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Martin GroheProfessor of Computer Science, RWTH Aachen UniversityPreverjeni e-poštni naslov na informatik.rwth-aachen.de
Jan Eric LenssenMax Planck Institute for InformaticsPreverjeni e-poštni naslov na mpi-inf.mpg.de
Christopher MorrisRWTH Aachen UniversityPreverjeni e-poštni naslov na cs.rwth-aachen.de
Matthias FeyFounding Engineer @ kumo.aiPreverjeni e-poštni naslov na tu-dortmund.de
William L HamiltonAssistant Professor of Computer Science, McGill University and MilaPreverjeni e-poštni naslov na cs.mcgill.ca
Gaurav RattanResearcher, TU DarmstadtPreverjeni e-poštni naslov na mathematik.tu-darmstadt.de
Steffen van BergeremHumboldt-Universität zu BerlinPreverjeni e-poštni naslov na informatik.hu-berlin.de
Tobias SchumacherUniversity of MannheimPreverjeni e-poštni naslov na uni-mannheim.de
Markus StrohmaierUniversity of Mannheim, GESIS - Leibniz Institute for the Social Sciences, CSH ViennaPreverjeni e-poštni naslov na uni-mannheim.de
Florian LemmerichUniversity of PassauPreverjeni e-poštni naslov na lemmerich.net
Christof LödingInformatik, RWTH AachenPreverjeni e-poštni naslov na cs.rwth-aachen.de
Jan G. RittigRWTH Aachen University, Aachener Verfahrenstechnik, Lehrstuhl für SystemverfahrenstechnikPreverjeni e-poštni naslov na rwth-aachen.de
Manuel DahmenIEK-10 Energy Systems Engineering at Forschungszentrum JülichPreverjeni e-poštni naslov na fz-juelich.de
Alexander MitsosAVT Systemverfahrenstechnik, RWTH Aachen University and Energy Systems Engineering IEK-10Preverjeni e-poštni naslov na alum.mit.edu
Jana Marie WeberAssistant professor, TU DelftPreverjeni e-poštni naslov na tudelft.nl
Artur M. SchweidtmannDelft University of Technology, Department of Chemical EngineeringPreverjeni e-poštni naslov na tudelft.nl
Kasper Green LarsenProfessor, Computer Science, Aarhus UniversityPreverjeni e-poštni naslov na cs.au.dk
Mikael Møller HøgsgaardAarhus UniversityPreverjeni e-poštni naslov na cs.au.dk

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Martin Ritzert

Georg-August Universität Göttingen

Preverjeni e-poštni naslov na informatik.uni-goettingen.de

Theoretical Machine Learning Graph Learning Algorithms Complexity Logic


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	1270	2019
Graph neural networks for maximum constraint satisfaction J Toenshoff, M Ritzert, H Wolf, M Grohe Frontiers in artificial intelligence 3, 98, 2021	38	2021
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	33	2017
Graph Learning with 1D Convolutions on Random Walks J Toenshoff, M Ritzert, H Wolf, M Grohe arXiv preprint arXiv:2102.08786, 2021	28	2021
The effects of randomness on the stability of node embeddings T Schumacher, H Wolf, M Ritzert, F Lemmerich, M Grohe, M Strohmaier Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021	18	2021
Learning MSO-definable hypotheses on strings M Grohe, C Löding, M Ritzert International Conference on Algorithmic Learning Theory, 434-451, 2017	18	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	14	2019
On the Parameterized Complexity of Learning First-Order Logic S van Bergerem, M Grohe, M Ritzert Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2022	6	2022
Learning Definable Hypotheses on Trees E Grienenberger, M Ritzert 22nd International Conference on Database Theory (ICDT 2019), 2019	5	2019
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark J Tönshoff, M Ritzert, E Rosenbluth, M Grohe arXiv preprint arXiv:2309.00367, 2023	4	2023
Graph machine learning for design of high‐octane fuels JG Rittig, M Ritzert, AM Schweidtmann, S Winkler, JM Weber, P Morsch, ... AIChE Journal 69 (4), e17971, 2023	4	2023
Optimal weak to strong learning K Green Larsen, M Ritzert Advances in Neural Information Processing Systems 35, 32830-32841, 2022	3	2022
On the Parameterized Complexity of Learning Logic S van Bergerem, M Grohe, M Ritzert CoRR, 2021	2	2021
Walking out of the weisfeiler leman hierarchy: Graph learning beyond message passing J Tönshoff, M Ritzert, H Wolf, M Grohe Transactions on Machine Learning Research, 2023	1	2023
AdaBoost is not an Optimal Weak to Strong Learner MM Høgsgaard, KG Larsen, M Ritzert arXiv preprint arXiv:2301.11571, 2023		2023
AdaBoost is not an Optimal Weak to Strong Learner M Møller Høgsgaard, K Green Larsen, M Ritzert arXiv e-prints, arXiv: 2301.11571, 2023		2023
Computer-Aided Fuel Design with Generative Graph Machine Learning JG Rittig, M Ritzert, AM Schweidtmann, S Winkler, JM Weber, P Morsch, ... 2022 AIChE Annual Meeting, 2022		2022
Learning on graphs with logic and neural networks M Ritzert Dissertation, RWTH Aachen University, 2021, 2021		2021

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