Federico Monti
Title
Cited by
Cited by
Year
Geometric deep learning on graphs and manifolds using mixture model CNNs
MMB Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolą, Jan ...
arXiv preprint arXiv:1611.08402, 2016
834*2016
Cayleynets: Graph convolutional neural networks with complex rational spectral filters
R Levie, F Monti, X Bresson, MM Bronstein
IEEE Transactions on Signal Processing 67 (1), 97-109, 2018
2472018
Geometric matrix completion with recurrent multi-graph neural networks
F Monti, MM Bronstein, X Bresson
arXiv preprint arXiv:1704.06803, 2017
2362017
Deep convolutional neural networks for pedestrian detection
D Tomč, F Monti, L Baroffio, L Bondi, M Tagliasacchi, S Tubaro
Signal processing: image communication 47, 482-489, 2016
1722016
Fake news detection on social media using geometric deep learning
F Monti, F Frasca, D Eynard, D Mannion, MM Bronstein
arXiv preprint arXiv:1902.06673, 2019
812019
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
P Gainza, F Sverrisson, F Monti, E Rodola, D Boscaini, MM Bronstein, ...
Nature Methods 17 (2), 184-192, 2020
622020
Motifnet: a motif-based graph convolutional network for directed graphs
F Monti, K Otness, MM Bronstein
2018 IEEE Data Science Workshop (DSW), 225-228, 2018
472018
Graph neural networks for icecube signal classification
N Choma, F Monti, L Gerhardt, T Palczewski, Z Ronaghi, P Prabhat, ...
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
342018
Peernets: Exploiting peer wisdom against adversarial attacks
J Svoboda, J Masci, F Monti, MM Bronstein, L Guibas
arXiv preprint arXiv:1806.00088, 2018
282018
Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski, O Litany, S Günnemann, MM Bronstein
arXiv preprint arXiv:1806.00770, 2018
212018
Using attribution to decode binding mechanism in neural network models for chemistry
K McCloskey, A Taly, F Monti, MP Brenner, LJ Colwell
Proceedings of the National Academy of Sciences 116 (24), 11624-11629, 2019
202019
Generative convolutional networks for latent fingerprint reconstruction
J Svoboda, F Monti, MM Bronstein
2017 IEEE International Joint Conference on Biometrics (IJCB), 429-436, 2017
182017
Sign: Scalable inception graph neural networks
E Rossi, F Frasca, B Chamberlain, D Eynard, M Bronstein, F Monti
arXiv preprint arXiv:2004.11198, 2020
142020
Or Litany, Stephan Günnemann, and Michael M Bronstein. Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski
arXiv preprint arXiv:1806.00770, 2018
122018
ncRNA Classification with Graph Convolutional Networks
E Rossi, F Monti, M Bronstein, P Liņ
arXiv preprint arXiv:1905.06515, 2019
92019
Temporal graph networks for deep learning on dynamic graphs
E Rossi, B Chamberlain, F Frasca, D Eynard, F Monti, M Bronstein
arXiv preprint arXiv:2006.10637, 2020
72020
Ratiometric sweat secretion optical test in cystic fibrosis, carriers and healthy subjects
G Bergamini, G Tridello, E Calcaterra, S Ceri, M Tagliasacchi, F Bianchi, ...
Journal of Cystic Fibrosis 17 (2), 186-189, 2018
72018
Egg handling pasteurization apparatus and method
R Dibbs
US Patent App. 10/210,430, 2003
72003
Deciphering interaction fingerprints from protein molecular surfaces
P Gainza, F Sverrisson, F Monti, E Rodola, MM Bronstein, BE Correia
bioRxiv, 606202, 2019
62019
Deep geometric matrix completion: A new way for recommender systems
F Monti, MM Bronstein, X Bresson
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
42018
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Articles 1–20