Pubblicazioni

Graph-Based Multi-Label Classification for WiFi Network Traffic Analysis

2022 - APPLIED SCIENCES
Granato, Giuseppe; Martino, Alessio; Baiocchi, Andrea; Rizzi, Antonello

Protocol to explain graph neural network predictions using an edge-centric Shapley value-based approach

2022 - STAR PROTOCOLS
Mastropietro, Andrea; Pasculli, Giuseppe; Bajorath, Jürgen

Tau Lepton Identification With Graph Neural Networks at Future Electron-Positron Colliders

2022 - FRONTIERS IN PHYSICS
Giagu, S; Torresi, L; Di Filippo, M

Re-identification of objects from aerial photos with hybrid siamese neural networks

2022 - IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Devoto, A.; Spinelli, I.; Murabito, F.; Chiovoloni, F.; Musmeci, R.; Scardapane, S.

Do We Need Anisotropic Graph Neural Networks?

2022 - ICLR 2022 - 10th International Conference on Learning Representations
Tailor, S. A.; Opolka, F. L.; Lio, P.; Lane, N. D.

A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data

2022 - MEDICAL IMAGE ANALYSIS
Azevedo, T.; Campbell, A.; Romero-Garcia, R.; Passamonti, L.; Bethlehem, R. A. I.; Lio, P.; Toschi, N.

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

2022 - Advances in Neural Information Processing Systems
Bodnar, C.; Di Giovanni, F.; Chamberlain, B. P.; Lio, P.; Bronstein, M.

Sheaf Neural Networks with Connection Laplacians

2022 - Proceedings of Machine Learning Research
Barbero, F.; Bodnar, C.; de Ocariz Borde, H. S.; Bronstein, M.; Velickovic, P.; Lio, P.

Learning Graph Search Heuristics

2022 - Proceedings of Machine Learning Research
Pandy, M.; Qiu, W.; Corso, G.; Velickovic, P.; Ying, R.; Leskovec, J.; Lio, P.

Predicting Patient Outcomes with Graph Representation Learning

2022 - Studies in Computational Intelligence
Tong, C.; Rocheteau, E.; Velickovic, P.; Lane, N.; Lio, P.

Continuous Neural Algorithmic Planners

2022 - Proceedings of Machine Learning Research
He, Y.; Velickovic, P.; Lio, P.; Deac, A.

Knowledge graphs

2021 - ACM COMPUTING SURVEYS
Hogan, A.; Blomqvist, E.; Cochez, M.; D'Amato, C.; Melo, G. D.; Gutierrez, C.; Kirrane, S.; Gayo, J. E. L.; Navigli, R.; Neumaier, S.; Ngomo, A. -C. N.; Polleres, A.; Rashid, S. M.; Rula, A.; Schmelzeisen, L.; Sequeda, J.; Staab, S.; Zimmermann, A.

CaregiverMatcher: Graph neural networks for connecting caregivers of rare disease patients

2021 - PROCEDIA COMPUTER SCIENCE
Guerranti, F.; Mannino, M.; Baccini, F.; Bongini, P.; Pancino, N.; Visibelli, A.; Marziali, S.

Weisfeiler and Lehman Go Cellular: CW Networks

2021 - Advances in Neural Information Processing Systems
Bodnar, C.; Frasca, F.; Otter, N.; Wang, Y. G.; Lio, P.; Montufar, G.; Bronstein, M.

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks

2021 - Proceedings of Machine Learning Research
Bodnar, C.; Frasca, F.; Wang, Y. G.; Otter, N.; Montufar, G.; Lio, P.; Bronstein, M. M.

A Multiscale Graph Convolutional Network Using Hierarchical Clustering

2021 - Advances in Information and Communication
Lipov, A.; Lio, P.

Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks**To appear in the Proceedings of 2020 IEEE International Conference on Smart Computing (SMARTCOMP 2020)

2020 - 2020 IEEE International Conference on Smart Computing (SMARTCOMP)
Yeghikyan, G.; Opolka, F. L.; Nanni, M.; Lepri, B.; Lio, P.

Improving graph convolutional networks with non-parametric activation functions

2018 - Proceedings 26th European Signal Processing Conference
Scardapane, S; Van Vaerenbergh, S; Comminiello, D; Uncini, A

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