| Missing data imputation with adversarially-trained graph convolutional networks I Spinelli, S Scardapane, A Uncini Neural Networks 129, 249-260, 2020 | 123 | 2020 |
| Fairdrop: Biased edge dropout for enhancing fairness in graph representation learning I Spinelli, S Scardapane, A Hussain, A Uncini IEEE Transactions on Artificial Intelligence 3 (3), 344-354, 2021 | 86 | 2021 |
| Adaptive propagation graph convolutional network I Spinelli, S Scardapane, A Uncini IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4755-4760, 2020 | 76 | 2020 |
| Interpreting black-box models: a review on explainable artificial intelligence V Hassija, V Chamola, A Mahapatra, A Singal, D Goel, K Huang, ... Cognitive Computation 16 (1), 45-74, 2024 | 60 | 2024 |
| Distributed training of graph convolutional networks S Scardapane, I Spinelli, P Di Lorenzo IEEE Transactions on Signal and Information Processing over Networks 7, 87-100, 2020 | 28 | 2020 |
| A meta-learning approach for training explainable graph neural networks I Spinelli, S Scardapane, A Uncini IEEE Transactions on Neural Networks and Learning Systems, 2022 | 16 | 2022 |
| Efficient data augmentation using graph imputation neural networks I Spinelli, S Scardapane, M Scarpiniti, A Uncini Progresses in Artificial Intelligence and Neural Systems, 57-66, 2020 | 7 | 2020 |
| From latent graph to latent topology inference: differentiable cell complex module C Battiloro, I Spinelli, L Telyatnikov, M Bronstein, S Scardapane, ... arXiv preprint arXiv:2305.16174, 2023 | 6 | 2023 |
| Icml 2023 topological deep learning challenge: Design and results M Papillon, M Hajij, A Myers, F Frantzen, G Zamzmi, H Jenne, J Mathe, ... Topological, Algebraic and Geometric Learning Workshops 2023, 3-8, 2023 | 3 | 2023 |
| Explainability in subgraphs-enhanced Graph Neural Networks M Guerra, I Spinelli, S Scardapane, FM Bianchi Proceedings of the Northern Lights Deep Learning Workshop 4, 2023 | 2 | 2023 |
| Machine Un-learning: An Overview of Techniques, Applications, and Future Directions S Sai, U Mittal, V Chamola, K Huang, I Spinelli, S Scardapane, Z Tan, ... Cognitive Computation 16 (2), 482-506, 2024 | 1 | 2024 |
| TopoX: a suite of Python packages for machine learning on topological domains M Hajij, M Papillon, F Frantzen, J Agerberg, I AlJabea, R Ballester, ... arXiv preprint arXiv:2402.02441, 2024 | 1 | 2024 |
| Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks I Spinelli, R Bianchini, S Scardapane Neural Networks 167, 159-167, 2023 | 1 | 2023 |
| Reidentification of Objects From Aerial Photos With Hybrid Siamese Neural Networks A Devoto, I Spinelli, F Murabito, F Chiovoloni, R Musmeci, S Scardapane IEEE Transactions on Industrial Informatics 19 (3), 2997-3005, 2022 | 1 | 2022 |
| Adaptive Point Transformer A Baiocchi, I Spinelli, A Nicolosi, S Scardapane arXiv preprint arXiv:2401.14845, 2024 | | 2024 |
| GATSY: Graph Attention Network for Music Artist Similarity AG Di Francesco, G Giampietro, I Spinelli, D Comminiello arXiv preprint arXiv:2311.00635, 2023 | | 2023 |
| ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo G Saurio, M Muscas, I Spinelli, V Rughetti, I Della Giovampaola, ... International Conference on Image Analysis and Processing, 430-441, 2023 | | 2023 |
| Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability I Spinelli, M Guerra, FM Bianchi, S Scardapane arXiv preprint arXiv:2304.07152, 2023 | | 2023 |
Simone ScardapaneAssistant Professor, Sapienza UniversityEmail verificata su uniroma1.it
