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Temporal Graph Networks for Deep Learning on Dynamic Graphs


Jun 18, 2020
Emanuele Rossi, Ben Chamberlain, Fabrizio Frasca, Davide Eynard, Federico Monti, Michael Bronstein


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SIGN: Scalable Inception Graph Neural Networks


Apr 23, 2020
Emanuele Rossi, Fabrizio Frasca, Ben Chamberlain, Davide Eynard, Michael Bronstein, Federico Monti


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ncRNA Classification with Graph Convolutional Networks


May 16, 2019
Emanuele Rossi, Federico Monti, Michael Bronstein, Pietro Liò


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Fake News Detection on Social Media using Geometric Deep Learning


Feb 10, 2019
Federico Monti, Fabrizio Frasca, Davide Eynard, Damon Mannion, Michael M. Bronstein


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Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry


Nov 29, 2018
Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy Colwell


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CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters


Oct 31, 2018
Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein


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Graph Neural Networks for IceCube Signal Classification


Sep 17, 2018
Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna


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Dual-Primal Graph Convolutional Networks


Jun 03, 2018
Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein


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PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks


May 31, 2018
Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas Guibas


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MotifNet: a motif-based Graph Convolutional Network for directed graphs


Feb 04, 2018
Federico Monti, Karl Otness, Michael M. Bronstein


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Generative Convolutional Networks for Latent Fingerprint Reconstruction


May 04, 2017
Jan Svoboda, Federico Monti, Michael M. Bronstein


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Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks


Apr 22, 2017
Federico Monti, Michael M. Bronstein, Xavier Bresson


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Geometric deep learning on graphs and manifolds using mixture model CNNs


Dec 06, 2016
Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein


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Deep convolutional neural networks for pedestrian detection


Mar 07, 2016
Denis Tomè, Federico Monti, Luca Baroffio, Luca Bondi, Marco Tagliasacchi, Stefano Tubaro

* submitted to Elsevier Signal Processing: Image Communication special Issue on Deep Learning 

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