| 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 | 177 | 2018 |
| Geometric matrix completion with recurrent multi-graph neural networks F Monti, M Bronstein, X Bresson Advances in Neural Information Processing Systems, 3697-3707, 2017 | 168 | 2017 |
| 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 | 147 | 2016 |
| 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 | 42 | 2019 |
| 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 | 32 | 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 | 32 | 2018 |
| 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 | 26 | 2018 |
| Peernets: Exploiting peer wisdom against adversarial attacks J Svoboda, J Masci, F Monti, MM Bronstein, L Guibas arXiv preprint arXiv:1806.00088, 2018 | 21 | 2018 |
| Dual-primal graph convolutional networks F Monti, O Shchur, A Bojchevski, O Litany, S Günnemann, MM Bronstein arXiv preprint arXiv:1806.00770, 2018 | 16 | 2018 |
| Generative convolutional networks for latent fingerprint reconstruction J Svoboda, F Monti, MM Bronstein 2017 IEEE International Joint Conference on Biometrics (IJCB), 429-436, 2017 | 16 | 2017 |
| 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 | 11 | 2019 |
| 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 | 11 | 2018 |
| 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 | 7 | 2018 |
| Egg handling pasteurization apparatus and method R Dibbs US Patent App. 10/210,430, 2003 | 7 | 2003 |
| ncRNA Classification with Graph Convolutional Networks E Rossi, F Monti, M Bronstein, P Liò arXiv preprint arXiv:1905.06515, 2019 | 5 | 2019 |
| Deciphering interaction fingerprints from protein molecular surfaces P Gainza, F Sverrisson, F Monti, E Rodola, MM Bronstein, BE Correia bioRxiv, 606202, 2019 | 3 | 2019 |
| 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 | 3 | 2018 |
| 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 | 2 | 2018 |
| SIGN: Scalable Inception Graph Neural Networks E Rossi, F Frasca, B Chamberlain, D Eynard, M Bronstein, F Monti arXiv preprint arXiv:2004.11198, 2020 | 1 | 2020 |
