Federico Monti
Citado por
Citado por
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
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
Geometric matrix completion with recurrent multi-graph neural networks
F Monti, M Bronstein, X Bresson
Advances in neural information processing systems 30, 2017
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
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
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
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
Sign: Scalable inception graph neural networks
F Frasca, E Rossi, D Eynard, B Chamberlain, M Bronstein, F Monti
arXiv preprint arXiv:2004.11198, 2020
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
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
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
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
Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski, O Litany, S Günnemann, MM Bronstein
arXiv preprint arXiv:1806.00770, 2018
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
Generative convolutional networks for latent fingerprint reconstruction
J Svoboda, F Monti, MM Bronstein
2017 IEEE International joint conference on biometrics (IJCB), 429-436, 2017
Peernets: Exploiting peer wisdom against adversarial attacks
J Svoboda, J Masci, F Monti, M Bronstein, L Guibas
International Conference on Learning Representations, 2019
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
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
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
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
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Artículos 1–20