Pubblicazioni

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation

2024 - ACM COMPUTING SURVEYS
Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.; Giannotti, F.

Developing and Evaluating Graph Counterfactual Explanation with GRETEL

2023 - WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining
Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.

On the Expressive Power of Geometric Graph Neural Networks

2023 - Proceedings of Machine Learning Research
Joshi, C. K.; Bodnar, C.; Mathis, S. V.; Cohen, T.; Lio, P.

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

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

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.

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.

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