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Michael M. Bronstein

University of Lugano
Technion – Israel Institute of Technology
Imperial College London

380

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19774

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Heterogeneous manifolds for curvature-aware graph embedding.

2022 CoRR
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Neural Diffusion PDEs, Differential Geometry, and Graph Neural Networks.

2022 | IMPROVE
- Michael M. Bronstein
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Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications.

2022 CoRR
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RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro.

2022 CoRR
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Inverse Computational Spectral Geometry.

2022 | Eurographics (Tutorials)
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Graph-Coupled Oscillator Networks.

2022 CoRR
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Graph Anisotropic Diffusion.

2022 CoRR
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Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs.

2022 CoRR
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Fast end-to-end learning on protein surfaces

2021 | IEEE Conference on Computer Vision and Pattern Recognition
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Weisfeiler and Lehman Go Cellular: CW Networks

2021 NeurIPS | Neural Information Processing Systems
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