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Federico Barbero
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On over-squashing in message passing neural networks: The impact of width, depth, and topology
F Di Giovanni, L Giusti, F Barbero, G Luise, P Lio, M Bronstein
Proceedings of the 40th International Conference on Machine Learning (ICML 2023), 2023
87*2023
Transcending transcend: Revisiting malware classification with conformal evaluation
F Barbero, F Pendlebury, F Pierazzi, L Cavallaro
2022 IEEE Symposium on Security and Privacy, 1332-1349, 2022
68*2022
Sheaf neural networks with connection laplacians
F Barbero, C Bodnar, HS de Ocáriz Borde, M Bronstein, P Veličković, ...
Topological, Algebraic and Geometric Learning Workshops 2022, 28-36, 2022
332022
Sheaf attention networks
F Barbero, C Bodnar, HS de Ocáriz Borde, P Lio
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
182022
Latent Graph Inference using Product Manifolds
HS de Ocáriz Borde, A Kazi, F Barbero, P Lio
International Conference on Learning Representations (ICLR 2023), 2023
16*2023
Locality-Aware Graph-Rewiring in GNNs
F Barbero, A Velingker, A Saberi, M Bronstein, F Di Giovanni
arXiv preprint arXiv:2310.01668, 2023
82023
Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression
HS de Ocáriz Borde, F Barbero
The First Learning on Graphs Conference, 2022
22022
Transformers need glasses! Information over-squashing in language tasks
F Barbero, A Banino, S Kapturowski, D Kumaran, JGM Araújo, A Vitvitskyi, ...
arXiv preprint arXiv:2406.04267, 2024
2024
Bundle Neural Networks for message diffusion on graphs
J Bamberger, F Barbero, X Dong, M Bronstein
arXiv preprint arXiv:2405.15540, 2024
2024
Attention-based Sheaf Neural Networks
F Barbero
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