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2020 – today
- 2024
[j3]Jan Tönshoff, Martin Ritzert, Eran Rosenbluth, Martin Grohe:
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark. Trans. Mach. Learn. Res. 2024 (2024)- [c9]Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe:
Distinguished In Uniform: Self-Attention Vs. Virtual Nodes. ICLR 2024 - [i14]Arthur da Cunha, Kasper Green Larsen, Martin Ritzert:
Boosting, Voting Classifiers and Randomized Sample Compression Schemes. CoRR abs/2402.02976 (2024) - [i13]Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe:
Distinguished In Uniform: Self Attention Vs. Virtual Nodes. CoRR abs/2405.11951 (2024) - 2023
- [j2]Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe:
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert:
AdaBoost is not an Optimal Weak to Strong Learner. ICML 2023: 13118-13140 - [i12]Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert:
AdaBoost is not an Optimal Weak to Strong Learner. CoRR abs/2301.11571 (2023) - [i11]Jan Tönshoff, Martin Ritzert, Eran Rosenbluth, Martin Grohe:
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark. CoRR abs/2309.00367 (2023) - 2022
- [c7]Kasper Green Larsen, Martin Ritzert:
Optimal Weak to Strong Learning. NeurIPS 2022 - [c6]Steffen van Bergerem
, Martin Grohe, Martin Ritzert:
On the Parameterized Complexity of Learning First-Order Logic. PODS 2022: 337-346 - [i10]Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Stefanie Winkler, Jana M. Weber, Philipp Morsch, K. Alexander Heufer, Martin Grohe, Alexander Mitsos, Manuel Dahmen:
Graph Machine Learning for Design of High-Octane Fuels. CoRR abs/2206.00619 (2022) - [i9]Kasper Green Larsen, Martin Ritzert:
Optimal Weak to Strong Learning. CoRR abs/2206.01563 (2022) - 2021
- [b1]Martin Ritzert:
Learning on graphs with logic and neural networks. RWTH Aachen University, Germany, 2021 - [c5]Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Martin Grohe, Markus Strohmaier:
The Effects of Randomness on the Stability of Node Embeddings. PKDD/ECML Workshops (1) 2021: 197-215 - [i8]Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe:
Graph Learning with 1D Convolutions on Random Walks. CoRR abs/2102.08786 (2021) - [i7]Steffen van Bergerem, Martin Grohe, Martin Ritzert:
On the Parameterized Complexity of Learning Logic. CoRR abs/2102.12201 (2021) - 2020
- [j1]Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe:
Graph Neural Networks for Maximum Constraint Satisfaction. Frontiers Artif. Intell. 3: 580607 (2020) - [i6]Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Jan Bachmann, Florian Frantzen, Max Klabunde, Martin Grohe, Markus Strohmaier:
The Effects of Randomness on the Stability of Node Embeddings. CoRR abs/2005.10039 (2020)
2010 – 2019
- 2019
- [c4]Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks. AAAI 2019: 4602-4609 - [c3]Émilie Grienenberger, Martin Ritzert:
Learning Definable Hypotheses on Trees. ICDT 2019: 24:1-24:18 - [i5]Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe:
RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems. CoRR abs/1909.08387 (2019) - [i4]Émilie Grienenberger, Martin Ritzert:
Learning definable hypotheses on trees. CoRR abs/1909.10994 (2019) - 2018
- [i3]Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks. CoRR abs/1810.02244 (2018) - 2017
- [c2]Martin Grohe, Christof Löding, Martin Ritzert:
Learning MSO-definable hypotheses on strings. ALT 2017: 434-451 - [c1]Martin Grohe, Martin Ritzert:
Learning first-order definable concepts over structures of small degree. LICS 2017: 1-12 - [i2]Martin Grohe, Martin Ritzert:
Learning first-order definable concepts over structures of small degree. CoRR abs/1701.05487 (2017) - [i1]Martin Grohe, Christof Löding, Martin Ritzert:
Learning MSO-definable hypotheses on string. CoRR abs/1708.08081 (2017)
Coauthor Index
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last updated on 2024-08-27 22:57 CEST by the dblp team
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