Levie, Ron;Monti, Federico;Bresson, Xavier;Bronstein, Michael M.CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral FiltersIEEE Transactions on Signal Processing201967197-109
Gainza, P.;Sverrisson, F.;Monti, F.;Rodolà, E.;Boscaini, D.;Bronstein, M. M.;Correia, B. E.Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learningNature Methods2019
Litany, Or;Bronstein, Alex;Bronstein, Michael;Makadia, AmeeshDeformable Shape Completion with Graph Convolutional Autoencoders2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionIEEE2018
Wang, Yue;Sun, Yongbin;Liu, Ziwei;Sarma, Sanjay E.;Bronstein, Michael M.;Solomon, Justin M.Dynamic Graph CNN for Learning on Point CloudsACM Transactions on Graphics20193851-12
Gehre, Anne;Lim, Isaak;Kobbelt, LeifFeature Curve Co-Completion in Noisy DataComputer Graphics Forum20183721-12
Rodolà, E.;Lähner, Z.;Bronstein, A. M.;Bronstein, M. M.;Solomon, J.Functional Maps Representation On Product ManifoldsComputer Graphics Forum2019381678-689
F. Monti, D. Boscaini, J. Masci, E. Rodolà, M. M. BronsteinGeometric deep learning on graphs and manifolds using mixture model CNNsProc. Computer Vision and Pattern Recognition (CVPR)2017
Choma, Nicholas;Monti, Federico;Gerhardt, Lisa;Palczewski, Tomasz;Ronaghi, Zahra;Prabhat, Prabhat;Bhimji, Wahid;Bronstein, Michael;Klein, Spencer;Bruna, JoanGraph Neural Networks for IceCube Signal Classification2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)IEEE2018
Nogneng, D.;Melzi, S.;Rodolà, E.;Castellani, U.;Bronstein, M.;Ovsjanikov, M.Improved Functional Mappings via Product PreservationComputer Graphics Forum2018372179-190
Melzi, S.;Rodolà, E.;Castellani, U.;Bronstein, M. M.Localized Manifold Harmonics for Spectral Shape AnalysisComputer Graphics Forum201737620-34