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Sheaf Neural Networks with Connection Laplacians


Jun 17, 2022
Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael Bronstein, Petar Veličković, Pietro Liò

* Presented at the ICML 2022 Workshop on Topology, Algebra, and Geometry in Machine Learning 

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Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization


Feb 14, 2022
Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderon, Michael Bronstein, Marcello Restelli


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Heterogeneous manifolds for curvature-aware graph embedding


Feb 02, 2022
Francesco Di Giovanni, Giulia Luise, Michael Bronstein


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Graph Kernel Neural Networks


Dec 14, 2021
Luca Cosmo, Giorgia Minello, Michael Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello


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On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features


Dec 03, 2021
Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael Bronstein


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Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling


Sep 28, 2021
Balder Croquet, Daan Christiaens, Seth M. Weinberg, Michael Bronstein, Dirk Vandermeulen, Peter Claes

* International Conference on Medical Image Computing and Computer-Assisted Intervention (2021) 118-128 

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Weisfeiler and Lehman Go Cellular: CW Networks


Jun 23, 2021
Cristian Bodnar, Fabrizio Frasca, Nina Otter, Yu Guang Wang, Pietro Liò, Guido Montúfar, Michael Bronstein

* 28 pages, 7 figures 

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Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks


Mar 04, 2021
Cristian Bodnar, Fabrizio Frasca, Yu Guang Wang, Nina Otter, Guido Montúfar, Pietro Liò, Michael Bronstein

* 24 pages, 9 figures 

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Non-Rigid Puzzles


Nov 26, 2020
Or Litany, Emanuele Rodolà, Alex Bronstein, Michael Bronstein, Daniel Cremers

* Computer Graphics Forum, Volume 35, Issue 5, August 2016 

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