Michael Bronstein : Publications
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[1]
Link prediction with relational hypergraphs
Xingyue Huang‚ Miguel Romero Orth‚ Pablo Barceló‚ Michael M Bronstein and İsmail İlkan Ceylan
In TMLR. 2025.
Details about Link prediction with relational hypergraphs | BibTeX data for Link prediction with relational hypergraphs
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[2]
How Expressive are Knowledge Graph Foundation Models?
Xingyue Huang‚ Pablo Barceló‚ Michael M. Bronstein‚ İsmail İlkan Ceylan‚ Mikhail Galkin‚ Juan L Reutter and Miguel Romero Orth
In Proceedings of Fourty−second International Conference on Machine Learning (ICML). 2025.
Details about How Expressive are Knowledge Graph Foundation Models? | BibTeX data for How Expressive are Knowledge Graph Foundation Models?
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[3]
Homomorphism Counts as Structural Encodings for Graph Learning
Linus Bao‚ Emily Jin‚ Michael Bronstein‚ İsmail İlkan Ceylan and Matthias Lanzinger
In Proceedings of the Thirteeneth International Conference on Learning Representations (ICLR). 2025.
Details about Homomorphism Counts as Structural Encodings for Graph Learning | BibTeX data for Homomorphism Counts as Structural Encodings for Graph Learning
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[4]
Fisher Flow Matching for Generative Modeling over Discrete Data
Oscar Davis‚ Samuel Kessler‚ Mircea Petrache‚ İsmail İlkan Ceylan‚ Michael Bronstein and Avishek Joey Bose
In Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS). 2024.
Details about Fisher Flow Matching for Generative Modeling over Discrete Data | BibTeX data for Fisher Flow Matching for Generative Modeling over Discrete Data | Link to Fisher Flow Matching for Generative Modeling over Discrete Data
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[5]
Learning on Large Graphs using Intersecting Communities
Ben Finkelshtein‚ İsmail İlkan Ceylan‚ Michael Bronstein and Ron Levie
In Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS). 2024.
Details about Learning on Large Graphs using Intersecting Communities | BibTeX data for Learning on Large Graphs using Intersecting Communities | Link to Learning on Large Graphs using Intersecting Communities
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[6]
Homomorphism Counts for Graph Neural Networks: All About That Basis
Emily Jin‚ Michael Bronstein‚ İsmail İlkan Ceylan and Matthias Lanzinger
In Proceedings of Fourty−first International Conference on Machine Learning (ICML). 2024.
Details about Homomorphism Counts for Graph Neural Networks: All About That Basis | BibTeX data for Homomorphism Counts for Graph Neural Networks: All About That Basis | Link to Homomorphism Counts for Graph Neural Networks: All About That Basis
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[7]
Cooperative Graph Neural Networks
Ben Finkelshtein‚ Xingyue Huang‚ Michael Bronstein and İsmail İlkan Ceylan
In Proceedings of Fourty−first International Conference on Machine Learning (ICML). 2024.
Details about Cooperative Graph Neural Networks | BibTeX data for Cooperative Graph Neural Networks | Link to Cooperative Graph Neural Networks
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[8]
De novo design of protein interactions with learned surface fingerprints
B. E. Correia 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
In Nature. No. 617. Pages 176–184. 2023.
Details about De novo design of protein interactions with learned surface fingerprints | BibTeX data for De novo design of protein interactions with learned surface fingerprints | Link to De novo design of protein interactions with learned surface fingerprints
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[9]
GRAND: Graph Neural Diffusion
B. P. Chamberlain‚ J. Rowbottom‚ M. Gorinova‚ S. Webb‚ E. Rossi and M. M. Bronstein
2021.
Details about GRAND: Graph Neural Diffusion | BibTeX data for GRAND: Graph Neural Diffusion