| Titolo | Pubblicato in | Anno |
|---|---|---|
| Discovering Polarization Niches via Dense Subgraphs with Attractors and Repulsers | PROCEEDINGS OF THE VLDB ENDOWMENT | 2023 |
| Contrast subgraphs allow comparing homogeneous and heterogeneous networks derived from omics data | GIGASCIENCE | 2023 |
| Core Decomposition in Multilayer Networks: Theory, Algorithms and Applications | ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA | 2020 |
| Explainable Classification of Brain Networks via Contrast Subgraphs | Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | 2020 |
Current research interests are in the network science area, in particular in the development of efficient/approximate algorithm for mining dense structures. Most of the applications of these algorithms are in the neuroscience/biology domain,
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