Luis Müller

According to our database, Luis Müller authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs.

Florian Grötschla, Luis Müller, Jan Tönshoff, Mikhail Galkin, Bryan Perozzi

CoRR, July, 2025

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks.

Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris

CoRR, February, 2025

2024

Attending to Graph Transformers.

Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek

Trans. Mach. Learn. Res., 2024

MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning.

Kerstin Kläser, Blazej Banaszewski, Samuel Maddrell-Mander, Callum McLean, Luis Müller, Ali Parviz, Shenyang Huang, Andrew W. Fitzgibbon

CoRR, 2024

Towards Principled Graph Transformers.

Luis Müller, Christopher Morris

CoRR, 2024

Towards Principled Graph Transformers.

Luis Müller, Daniel Kusuma, Blai Bonet, Christopher Morris

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Aligning Transformers with Weisfeiler-Leman.

Luis Müller, Christopher Morris

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.

Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.

Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters

CoRR, 2023

2022

Digitale Transformation als Treiber von Controlling im Gartenbau - ein konzeptioneller Ansatz.

Luis Müller, Robert Luer, Henning Krause, Wolfgang Lentz

Proceedings of the 42. GIL-Jahrestagung, 2022

2021

On Reachable Assignments in Cycles.

Luis Müller, Matthias Bentert

Proceedings of the Algorithmic Decision Theory - 7th International Conference, 2021

2020

On Reachable Assignments in Cycles and Cliques.

Luis Müller, Matthias Bentert

CoRR, 2020