Federico Monti
Titolo
Citata da
Citata da
Anno
Geometric deep learning on graphs and manifolds using mixture model CNNs
MMB Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan ...
arXiv preprint arXiv:1611.08402, 2016
663*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
1772018
Geometric matrix completion with recurrent multi-graph neural networks
F Monti, M Bronstein, X Bresson
Advances in Neural Information Processing Systems, 3697-3707, 2017
1682017
Deep convolutional neural networks for pedestrian detection
D Tomè, F Monti, L Baroffio, L Bondi, M Tagliasacchi, S Tubaro
Signal processing: image communication 47, 482-489, 2016
1472016
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
422019
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
322020
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
322018
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
262018
Peernets: Exploiting peer wisdom against adversarial attacks
J Svoboda, J Masci, F Monti, MM Bronstein, L Guibas
arXiv preprint arXiv:1806.00088, 2018
212018
Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski, O Litany, S Günnemann, MM Bronstein
arXiv preprint arXiv:1806.00770, 2018
162018
Generative convolutional networks for latent fingerprint reconstruction
J Svoboda, F Monti, MM Bronstein
2017 IEEE International Joint Conference on Biometrics (IJCB), 429-436, 2017
162017
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
112019
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
112018
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
ncRNA Classification with Graph Convolutional Networks
E Rossi, F Monti, M Bronstein, P Liò
arXiv preprint arXiv:1905.06515, 2019
52019
Deciphering interaction fingerprints from protein molecular surfaces
P Gainza, F Sverrisson, F Monti, E Rodola, MM Bronstein, BE Correia
bioRxiv, 606202, 2019
32019
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
32018
Using attribution to decode dataset bias in neural network models for chemistry
K McCloskey, A Taly, F Monti, MP Brenner, L Colwell
arXiv preprint arXiv:1811.11310, 2018
22018
SIGN: Scalable Inception Graph Neural Networks
E Rossi, F Frasca, B Chamberlain, D Eynard, M Bronstein, F Monti
arXiv preprint arXiv:2004.11198, 2020
12020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20