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Michael Bronstein

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On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology

Feb 06, 2023
Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio', Michael Bronstein

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Curvature Filtrations for Graph Generative Model Evaluation

Jan 30, 2023
Joshua Southern, Jeremy Wayland, Michael Bronstein, Bastian Rieck

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Structure-based Drug Design with Equivariant Diffusion Models

Oct 24, 2022
Arne Schneuing, Yuanqi Du, Charles Harris, Arian Jamasb, Ilia Igashov, Weitao Du, Tom Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael Bronstein, Bruno Correia

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Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design

Oct 11, 2022
Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael Bronstein, Bruno Correia

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Hyperbolic Deep Reinforcement Learning

Oct 04, 2022
Edoardo Cetin, Benjamin Chamberlain, Michael Bronstein, Jonathan J Hunt

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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

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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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