Müller, Luis

8 publications

NeurIPS 2025 Generalizable Insights for Graph Transformers in Theory and Practice Timo Stoll, Luis Müller, Christopher Morris

ICML 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

ICML 2024 Aligning Transformers with Weisfeiler-Leman Luis Müller, Christopher Morris

TMLR 2024 Attending to Graph Transformers Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampášek

ICMLW 2024 MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning Kerstin Klaser, Blazej Banaszewski, Samuel Maddrell-Mander, Callum McLean, Luis Müller, Ali Parviz, Shenyang Huang, Andrew W Fitzgibbon

ICLR 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, Michał 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

NeurIPS 2024 Towards Principled Graph Transformers Luis Müller, Daniel Kusuma, Blai Bonet, Christopher Morris

NeurIPSW 2024 Towards Principled Graph Transformers Luis Müller, Daniel Kusuma, Blai Bonet, Christopher Morris