Federico Monti

Orcid: 0000-0003-3736-891X

According to our database1, Federico Monti authored at least 18 papers between 2016 and 2023.

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Bibliography

2023
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter.
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), 2023

2022
Learning to Infer Structures of Network Games.
Proceedings of the International Conference on Machine Learning, 2022

2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs.
CoRR, 2020

SIGN: Scalable Inception Graph Neural Networks.
CoRR, 2020

2019
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters.
IEEE Trans. Signal Process., 2019

ncRNA Classification with Graph Convolutional Networks.
CoRR, 2019

Fake News Detection on Social Media using Geometric Deep Learning.
CoRR, 2019

PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Deep Learning for Computer Graphics and Geometry Processing.
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

2018
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry.
CoRR, 2018

Dual-Primal Graph Convolutional Networks.
CoRR, 2018

Graph Neural Networks for IceCube Signal Classification.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Deep Geometric Matrix Completion: A New Way for Recommender Systems.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

MOTIFNET: A Motif-Based Graph Convolutional Network for Directed Graphs.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Generative convolutional networks for latent fingerprint reconstruction.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Deep Convolutional Neural Networks for pedestrian detection.
Signal Process. Image Commun., 2016


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