Follow
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 RodolÓ, Jan ...
arXiv preprint arXiv:1611.08402, 2016
1470*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
4662018
Geometric matrix completion with recurrent multi-graph neural networks
F Monti, M Bronstein, X Bresson
Advances in neural information processing systems 30, 2017
4402017
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
2892019
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
2422020
Deep convolutional neural networks for pedestrian detection
D TomŔ, F Monti, L Baroffio, L Bondi, M Tagliasacchi, S Tubaro
Signal processing: image communication 47, 482-489, 2016
2302016
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
1432020
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
902020
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
822018
Sign: Scalable inception graph neural networks
F Frasca, E Rossi, D Eynard, B Chamberlain, M Bronstein, F Monti
arXiv preprint arXiv:2004.11198, 2020
672020
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
502019
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 Applicationsá…, 2018
502018
Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski, O Litany, S GŘnnemann, MM Bronstein
arXiv preprint arXiv:1806.00770, 2018
432018
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 165á…, 2014
372014
Peernets: Exploiting peer wisdom against adversarial attacks
J Svoboda, J Masci, F Monti, MM Bronstein, L Guibas
arXiv preprint arXiv:1806.00088, 2018
362018
Generative convolutional networks for latent fingerprint reconstruction
J Svoboda, F Monti, MM Bronstein
2017 IEEE International Joint Conference on Biometrics (IJCB), 429-436, 2017
332017
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), 1-8, 2012
252012
Or Litany, Stephan GŘnnemann, and Michael M Bronstein. Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski
arXiv preprint arXiv:1806.00770 3, 2018
202018
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
142018
ncRNA classification with graph convolutional networks
E Rossi, F Monti, M Bronstein, P Li˛
arXiv preprint arXiv:1905.06515, 2019
132019
The system can't perform the operation now. Try again later.
Articles 1–20