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Levie, Ron;Monti, Federico;Bresson, Xavier;Bronstein, Michael M.
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters
IEEE Transactions on Signal Processing
2019
67
1
97-109
Gainza, P.;Sverrisson, F.;Monti, F.;Rodolà, E.;Boscaini, D.;Bronstein, M. M.;Correia, B. E.
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
Nature Methods
2019
Litany, Or;Bronstein, Alex;Bronstein, Michael;Makadia, Ameesh
Deformable Shape Completion with Graph Convolutional Autoencoders
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
IEEE
2018
Wang, Yue;Sun, Yongbin;Liu, Ziwei;Sarma, Sanjay E.;Bronstein, Michael M.;Solomon, Justin M.
Dynamic Graph CNN for Learning on Point Clouds
ACM Transactions on Graphics
2019
38
5
1-12
Gehre, Anne;Lim, Isaak;Kobbelt, Leif
Feature Curve Co-Completion in Noisy Data
Computer Graphics Forum
2018
37
2
1-12
Rodolà, E.;Lähner, Z.;Bronstein, A. M.;Bronstein, M. M.;Solomon, J.
Functional Maps Representation On Product Manifolds
Computer Graphics Forum
2019
38
1
678-689
F. Monti, D. Boscaini, J. Masci, E. Rodolà, M. M. Bronstein
Geometric deep learning on graphs and manifolds using mixture model CNNs
Proc. Computer Vision and Pattern Recognition (CVPR)
2017
Choma, Nicholas;Monti, Federico;Gerhardt, Lisa;Palczewski, Tomasz;Ronaghi, Zahra;Prabhat, Prabhat;Bhimji, Wahid;Bronstein, Michael;Klein, Spencer;Bruna, Joan
Graph Neural Networks for IceCube Signal Classification
2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)
IEEE
2018
Nogneng, D.;Melzi, S.;Rodolà, E.;Castellani, U.;Bronstein, M.;Ovsjanikov, M.
Improved Functional Mappings via Product Preservation
Computer Graphics Forum
2018
37
2
179-190
Melzi, S.;Rodolà, E.;Castellani, U.;Bronstein, M. M.
Localized Manifold Harmonics for Spectral Shape Analysis
Computer Graphics Forum
2017
37
6
20-34
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