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Federico Monti
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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
2206*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
7782018
Geometric matrix completion with recurrent multi-graph neural networks
F Monti, M Bronstein, X Bresson
Advances in neural information processing systems 30, 2017
6472017
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
6232019
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
6032020
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
6012020
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
2762016
Sign: Scalable inception graph neural networks
F Frasca, E Rossi, D Eynard, B Chamberlain, M Bronstein, F Monti
arXiv preprint arXiv:2004.11198, 2020
2342020
Sign: Scalable inception graph neural networks
E Rossi, F Frasca, B Chamberlain, D Eynard, M Bronstein, F Monti
arXiv preprint arXiv:2004.11198 7, 15, 2020
1692020
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
1532018
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
1042019
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
822018
Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski, O Litany, S Günnemann, MM Bronstein
arXiv preprint arXiv:1806.00770, 2018
752018
Communication, cognitive development and behavior in children with Cornelia de Lange Syndrome (CdLS): preliminary results
PF Ajmone, C Rigamonti, F Dall'Ara, F Monti, P Vizziello, D Milani, ...
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 165 …, 2014
502014
Generative convolutional networks for latent fingerprint reconstruction
J Svoboda, F Monti, MM Bronstein
2017 IEEE International joint conference on biometrics (IJCB), 429-436, 2017
452017
Peernets: Exploiting peer wisdom against adversarial attacks
J Svoboda, J Masci, F Monti, M Bronstein, L Guibas
International Conference on Learning Representations, 2019
412019
Early manifestations in a cohort of children prenatally diagnosed with 47, XYY. Role of multidisciplinary counseling for parental guidance and prevention of aggressive behavior
F Lalatta, E Folliero, U Cavallari, M Di Segni, B Gentilin, R Fogliani, ...
Italian journal of pediatrics 38, 1-8, 2012
282012
Interaction data are identifiable even across long periods of time
AM Creţu, F Monti, S Marrone, X Dong, M Bronstein, YA de Montjoye
Nature Communications 13 (1), 313, 2022
262022
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
242018
Or Litany, Stephan Günnemann, and Michael M Bronstein. Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski
arXiv preprint arXiv:1806.00770 3, 2018
232018
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Artículos 1–20