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Deep LEarning on MANifolds and graphs

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Publications

Geometric Deep Learning: Going beyond Euclidean data

Author(s): Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst
Published in: IEEE Signal Processing Magazine, Issue 34/4, 2017, Page(s) 18-42, ISSN 1053-5888
DOI: 10.1109/msp.2017.2693418

Interactive curve constrained functional maps

Author(s): A. Gehre, M. M. Bronstein, L. Kobbelt, J. Solomon
Published in: Computer Graphics Forum, 2018, ISSN 1467-8659
DOI: 10.1111/cgf.13486

Kernel functional maps

Author(s): L. Wang, A. Gehre, M. M. Bronstein, J. Solomon
Published in: Computer Graphics Forum, 2018, ISSN 1467-8659
DOI: 10.1111/cgf.13488

Improved Functional Mappings via Product Preservation

Author(s): D. Nogneng, S. Melzi, E. Rodolà, U. Castellani, M. Bronstein, M. Ovsjanikov
Published in: Computer Graphics Forum, Issue 37/2, 2018, Page(s) 179-190, ISSN 0167-7055
DOI: 10.1111/cgf.13352

Functional Maps Representation On Product Manifolds

Author(s): E. Rodolà, Z. Lähner, A. M. Bronstein, M. M. Bronstein, J. Solomon
Published in: Computer Graphics Forum, Issue 38/1, 2018, Page(s) 678-689, ISSN 0167-7055
DOI: 10.1111/cgf.13598

CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters

Author(s): Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
Published in: IEEE Transactions on Signal Processing, Issue 67/1, 2019, Page(s) 97-109, ISSN 1053-587X
DOI: 10.1109/tsp.2018.2879624

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Author(s): P. Gainza, F. Sverrisson, F. Monti, E. Rodolà, D. Boscaini, M. M. Bronstein, B. E. Correia
Published in: Nature Methods, 2020, ISSN 1548-7091
DOI: 10.1038/s41592-019-0666-6

Using attribution to decode binding mechanism in neural network models for chemistry

Author(s): Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell
Published in: Proceedings of the National Academy of Sciences, 2018, Page(s) 201820657, ISSN 0027-8424
DOI: 10.1073/pnas.1820657116

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs

Author(s): Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodola, Jan Svoboda, Michael M. Bronstein
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 5425-5434
DOI: 10.1109/cvpr.2017.576

Geometric matrix completion with recurrent multi-graph neural networks

Author(s): F. Monti, M. M. Bronstein, X. Bresson
Published in: Neural Information Processing Systems, 2017

Efficient Deformable Shape Correspondence via Kernel Matching

Author(s): Matthias Vestner, Zorah Lahner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodola, Alex Bronstein, Michael Bronstein, Ron Kimmel, Daniel Cremers
Published in: 2017 International Conference on 3D Vision (3DV), 2017, Page(s) 517-526
DOI: 10.1109/3dv.2017.00065

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence

Author(s): Or Litany, Tal Remez, Emanuele Rodola, Alex Bronstein, Michael Bronstein
Published in: 2017 IEEE International Conference on Computer Vision (ICCV), 2017, Page(s) 5660-5668
DOI: 10.1109/iccv.2017.603

MOTIFNET: A MOTIF-BASED GRAPH CONVOLUTIONAL NETWORK FOR DIRECTED GRAPHS

Author(s): Federico Monti, Karl Otness, Michael M. Bronstein
Published in: 2018 IEEE Data Science Workshop (DSW), 2018, Page(s) 225-228
DOI: 10.1109/dsw.2018.8439897

Graph Neural Networks for IceCube Signal Classification

Author(s): Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat Prabhat, Wahid Bhimji, Michael Bronstein, Spencer Klein, Joan Bruna
Published in: 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018, Page(s) 386-391
DOI: 10.1109/icmla.2018.00064

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

Author(s): Monti, Federico; Bronstein, Michael M.; Bresson, Xavier
Published in: NIPS, Issue 7, 2017

PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks

Author(s): Svoboda, Jan; Masci, Jonathan; Monti, Federico; Bronstein, Michael M.; Guibas, Leonidas
Published in: ICLR, Issue 7, 2019

Fake News Detection on Social Media using Geometric Deep Learning

Author(s): Monti, Federico; Frasca, Fabrizio; Eynard, Davide; Mannion, Damon; Bronstein, Michael M.
Published in: Issue 2, 2019

Dual-Primal Graph Convolutional Networks

Author(s): Monti, Federico; Shchur, Oleksandr; Bojchevski, Aleksandar; Litany, Or; Günnemann, Stephan; Bronstein, Michael M.
Published in: Issue 5, 2018