Federico Barbero

According to our database, Federico Barbero authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Locality-Aware Graph-Rewiring in GNNs.

Federico Barbero, Ameya Velingker, Amin Saberi, Michael M. Bronstein, Francesco Di Giovanni

CoRR, 2023

On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology.

Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein

Proceedings of the International Conference on Machine Learning, 2023

Latent Graph Inference using Product Manifolds.

Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression.

Haitz Sáez de Ocáriz Borde, Federico Barbero

CoRR, 2022

Sheaf Neural Networks with Connection Laplacians.

Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò

Proceedings of the Topological, 2022

Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift.

Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2020

Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation.

Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro

CoRR, 2020