Emanuele Rodolà

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs

Federico Monti, Davide Boscaini, Jonathan Masci et al. · 2017 · 1.8K citations

Geometric Learning, Convolutional Neural Network, Engineering +17

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Pablo Gaínza, Freyr Sverrisson, Federico Monti et al. · Nature Methods · 2019 · 789 citations · Full text

Interaction Fingerprints, Protein Molecular Surfaces, Interactomics +10

Partial Functional Correspondence

Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein et al. · Computer Graphics Forum · 2016 · 234 citations · Full text

Spectral Theory, Geometric Modeling, Partial Functional Correspondence +13

Learning shape correspondence with anisotropic convolutional neural\n networks

Davide Boscaini, Jonathan Masci, Emanuele Rodolà et al. · arXiv (Cornell University) · 2016 · 176 citations · Full text

Learning shape correspondence with anisotropic convolutional neural networks

Davide Boscaini, Jonathan Masci, Emanuele Rodolà et al. · arXiv (Cornell University) · 2016 · 169 citations · Full text

Geometric Learning, Convolutional Neural Network, Such Deformations +18