Pubblicazioni

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

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

Graph Convolutional Networks with Autoencoder-Based Compression and Multi-Layer Graph Learning

2022 - IEEE ICASSP 2022
Giusti, L; Battiloro, C; Di Lorenzo, P; Barbarossa, S

A joint Markov model for communities, connectivity and signals defined over graphs

2020 - IEEE SIGNAL PROCESSING LETTERS
Colonnese, S.; Di Lorenzo, P.; Cattai, T.; Scarano, G.; Fallani, F. D. V.

Compound Markov random field model of signals on graph: an application to graph learning

2018 - European Workshop on Visual Information Processing
Colonnese, Stefania; Pagliari, Giulio; Biagi, Mauro; Cusani, Roberto; Scarano, Gaetano

Graph topology inference based on transform learning

2016 - Proc. 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Sardellitti, Stefania; Barbarossa, Sergio; Di Lorenzo, Paolo

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