Michael Bronstein : Publications
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@article{huang2025link,
title = "Link prediction with relational hypergraphs",
author = "Huang, Xingyue and Orth, Miguel Romero and Barcel{\'o}, Pablo and Bronstein, Michael M and Ceylan, {\.I}smail {\.I}lkan",
year = "2025",
journal = "TMLR",
}
@inproceedings{Equiv-NeurIPS'25,
title = "Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models",
author = "Ben Finkelshtein and {\.I}smail {\.I}lkan Ceylan and Michael Bronstein and Ron Levie",
year = "2025",
booktitle = "Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS)",
}
@inproceedings{Petrovic-NeurIPS'25,
title = "Curly Flow Matching for Learning Non-gradient Field Dynamics",
author = "Katarina Petrović and Lazar Atanackovic and Viggo Moro and Kacper Kapuśniak and {\.I}smail {\.I}lkan Ceylan and Michael Bronstein and Michael Bronstein and Avishek Joey Bose and Alexander Tong",
year = "2025",
booktitle = "Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS)",
}
@inproceedings{Huang-ICML25,
title = "How Expressive are Knowledge Graph Foundation Models?",
author = "Xingyue Huang and Pablo Barceló and Michael M. Bronstein and {\.I}smail {\.I}lkan Ceylan and Mikhail Galkin and Juan L Reutter and Miguel Romero Orth",
year = "2025",
booktitle = "Proceedings of Fourty-second International Conference on Machine Learning (ICML)",
}
@inproceedings{16492,
title = "Homomorphism Counts as Structural Encodings for Graph Learning",
author = "Linus Bao and Emily Jin and Michael Bronstein and {\.I}smail {\.I}lkan Ceylan and Matthias Lanzinger",
year = "2025",
booktitle = "Proceedings of the Thirteeneth International Conference on Learning Representations (ICLR)",
}
@inproceedings{Davis-NeurIPS'24,
title = "Fisher Flow Matching for Generative Modeling over Discrete Data",
author = "Oscar Davis and Samuel Kessler and Mircea Petrache and {\.I}smail {\.I}lkan Ceylan and Michael Bronstein and Avishek Joey Bose",
year = "2024",
booktitle = "Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS)",
url = "https://arxiv.org/abs/2405.14664",
}
@inproceedings{FCBL-NeurIPS'24,
title = "Learning on Large Graphs using Intersecting Communities",
author = "Ben Finkelshtein and {\.I}smail {\.I}lkan Ceylan and Michael Bronstein and Ron Levie",
year = "2024",
booktitle = "Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS)",
url = "https://arxiv.org/abs/2405.20724",
}
@inproceedings{JBCL-ICML24,
title = "Homomorphism Counts for Graph Neural Networks: All About That Basis",
author = "Emily Jin and Michael Bronstein and İsmail İlkan Ceylan and Matthias Lanzinger",
year = "2024",
booktitle = "Proceedings of Fourty-first International Conference on Machine Learning (ICML)",
url = "https://arxiv.org/abs/2402.08595",
}
@inproceedings{FHBC-ICML24,
title = "Cooperative Graph Neural Networks",
author = "Ben Finkelshtein and Xingyue Huang and Michael Bronstein and {\.I}smail {\.I}lkan Ceylan",
year = "2024",
booktitle = "Proceedings of Fourty-first International Conference on Machine Learning (ICML)",
url = "https://arxiv.org/abs/2310.01267",
}
@article{Gainza2023,
title = "De novo design of protein interactions with learned surface fingerprints",
author = "P. Gainza, S. Wehrle, A. Van Hall-Beauvais, A. Marchand, A. Scheck, Z. Harteveld, S. Buckley, D. Ni, S. Tan, F. Sverrisson, C. Goverde, P. Turelli, C. Raclot, A. Teslenko, M. Pacesa, S. Rosset, S. Georgeon, J. Marsden, A. Petruzzella, K. Liu, Z. Xu, Y. Chai, P. Han, G. F. Gao, E. Oricchio, B. Fierz, D. Trono, H. Stahlberg, M. B. Bronstein, B. E. Correia",
year = "2023",
journal = "Nature",
number = "617",
pages = "176–184",
url = "https://www.nature.com/articles/s41586-023-05993-x",
}
@conference{Chamberlain2021a,
title = "GRAND: Graph Neural Diffusion",
author = "B. P. Chamberlain and J. Rowbottom and M. Gorinova and S. Webb and E. Rossi and M. M. Bronstein",
year = "2021",
journal = "ICML",
}