126030 ; 126010
Lehrstuhl für Maschinelles Lernen auf Graphen Also known as:Juniorprofessur für Maschinelles Lernen auf Graphen| ID | I:(DE-82)126030_20220429 |
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Contribution to a conference proceedings
Generalizable Insights for Graph Transformers in Theory and Practice
New Perspectives in Graph Machine Learning : NPGML : San Diego, CA, United States, Dec 07 2025
Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CASan Diego, CA, USA, 7 Dec 2025 - 7 Dec 2025
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Probabilistic Graph Rewiring via Virtual Nodes
Advances in Neural Information Processing Systems 37 (NeurIPS 2024) / edited by: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang
38. Conference on Neural Information Processing Systems, NeurIPS 2024, VancouverVancouver, Canada, 10 Dec 2024 - 15 Dec 2024
[Erscheinungsort nicht ermittelbar] : [Verlag nicht ermittelbar], Advances in neural information processing systems 37, [1]-34 (2025)
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Contribution to a book/Contribution to a conference proceedings
Probabilistic Graph Rewiring via Virtual Nodes
Advances in Neural Information Processing Systems 37 (NeurIPS 2024) / edited by: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang
38. Conference on Neural Information Processing Systems, NeurIPS 2024, VancouverVancouver, Canada, 10 Dec 2024 - 15 Dec 2024
[Erscheinungsort nicht ermittelbar] : [Verlag nicht ermittelbar], Advances in neural information processing systems 37, [1]-34 (2024)
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Towards Principled Graph Transformers
Advances in Neural Information Processing Systems 37 (NeurIPS 2024) / edited by: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang
38. Conference on Neural Information Processing Systems, NeurIPS 2024, VancouverVancouver, Canada, 10 Dec 2024 - 15 Dec 2024
[Erscheinungsort nicht ermittelbar] : [Verlag nicht ermittelbar], Advances in neural information processing systems 37, [1]-35 (2024)
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Position: Future Directions in the Theory of Graph Machine Learning
International Conference on Machine Learning : 21-27 July 2024, Vienna, Austria / editors: Ruslan Salakhutdinov, Zico Kolter, Katherine Heller, Adrian Weller, Nuria Oliver, Jonathan Scarlett, Felix Berkenkamp
41. International Conference on Machine Learning, ICML 2024, ViennaVienna, Austria, 21 Jul 2024 - 27 Jul 2024
[Erscheinungsort nicht ermittelbar] : PMLR, Proceedings of machine learning research 235, 36294-36307 (2024)
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Covered Forest: Fine-grained generalization analysis of graph neural networks
68 Seiten (2024) [10.48550/arXiv.2412.07106]
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Probabilistically Rewired Message-Passing Neural Networks
26 Seiten (2023) [10.48550/arXiv.2310.02156]
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Cometh: A continuous-time discrete-state graph diffusion model
27 Seiten (2024) [10.48550/arXiv.2406.06449]
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Aligning Transformers with Weisfeiler-Leman
41. International Conference on Machine Learning, ICML 2024, ViennaVienna, Austria, 21 Jul 2024 - 27 Jul 2024
51 Seiten (2024) [10.48550/arXiv.2406.03148]
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Probabilistic Graph Rewiring via Virtual Nodes
27 Seiten (2024) [10.48550/arXiv.2405.17311]
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All known publications ...
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