SPINELLI, INDRO
SPINELLI, INDRO
DIPARTIMENTO DI INFORMATICA
A meta-learning approach for training explainable graph neural networks
2022 Spinelli, I.; Scardapane, S.; Uncini, A.
Adaptive propagation graph convolutional network
2020 Spinelli, I; Scardapane, S; Uncini, A
Combining stochastic explainers and subgraph neural networks can increase expressivity and interpretability
2023 Spinelli, Indro; Guerra, Michele; Bianchi, Filippo Maria; Scardapane, Simone
Distributed training of graph convolutional networks
2021 Scardapane, S; Spinelli, I; Di Lorenzo, P
Drop edges and adapt. A fairness enforcing fine-tuning for graph neural networks
2023 Spinelli, I.; Bianchini, R.; Scardapane, S.
Efficient data augmentation using graph imputation neural networks
2021 Spinelli, I.; Scardapane, S.; Scarpiniti, M.; Uncini, A.
Explainability in subgraphs-enhanced Graph Neural Networks
2023 Guerra, Michele; Spinelli, Indro; Scardapane, Simone; Bianchi, Filippo Maria
Fairdrop. Biased edge dropout for enhancing fairness in graph representation learning
2021 Spinelli, Indro; Scardapane, Simone; Hussain, Amir; Uncini, Aurelio
From latent graph to latent topology inference: differentiable cell complex module
2024 Battiloro, C.; Spinelli, I.; Telyatnikov, L.; Bronstein, M.; Scardapane, S.; Di Lorenzo, P.
ICML 2023 topological deep learning challenge. Design and results
2023 Papillon, Mathilde; Hajij, Mustafa; Frantzen, Florian; Hoppe, Josef; Jenne, Helen; Mathe, Johan; Myers, Audun; Papamarkou, Theodore; Schaub, Michael T.; Zamzmi, Ghada; Birdal, Tolga; Dey, Tamal; Doster, Timothy; Emerson, Tegan H.; Gopalakrishnan, Gurusankar; Govil, D.; Grande, Vincent P.; Guzm'an-S'aenz, Aldo; Kvinge, Henry; Livesay, Neal; Meisner, Jan; Mukherjee, Soham; Samaga, Shreyas N.; Natesan Ramamurthy, Karthikeyan; Reddy Karri, Maneel; Rosen, Paul; Sanborn, Sophia; Scholkemper, Michael; Walters, Robin; Agerberg, Jens; Bokman, Georg; Barikbin, Sadrodin; Battiloro, Claudio; Bazhenov, Gleb; Bern('a)rdez, Guillermo; Brent, Aiden; Escalera, Sergio; Fiorellino, Simone; Gavrilev, Dmitrii; Hassanin, Mohammed; Hausner, Paul; Hoff Gardaa, Odin; Khamis, Abdelwahed; Lecha, M; Magai, German; Malygina, Tatiana; Melnyk, Pavlo; Ballester, Rub('e)n; Varma Nadimpalli, Kalyan; Nikitin, Alexander; Rabinowitz, Abraham; Salatiello, Alessandro; Scardapane, Simone; Scofano, Luca; Singh, Suraj; Sjolund, Jens; Snopov, Paul; Spinelli, Indro; Telyatnikov, Lev; Testa, Lucia; Yang, Maosheng; Yue, Yixiao; Zaghen, Olga; Zia, Ali; Miolane, Nina
Interpreting black-box models. A review on explainable artificial intelligence
2023 Hassija, V.; Chamola, V.; Mahapatra, A.; Singal, A.; Goel, D.; Huang, K.; Scardapane, S.; Spinelli, I.; Mahmud, M.; Hussain, A.
Length-Aware Motion Synthesis via Latent Diffusion
2024 Sampieri, Alessio; Palma, Alessio; Spinelli, Indro; Galasso, Fabio
Machine Un-learning. An overview of techniques, applications, and future directions
2023 Sai, S.; Mittal, U.; Chamola, V.; Huang, K.; Spinelli, I.; Scardapane, S.; Tan, Z.; Hussain, A.
Missing data imputation with adversarially-trained graph convolutional networks
2020 Spinelli, I; Scardapane, S; Uncini, A
Re-identification of objects from aerial photos with hybrid siamese neural networks
2022 Devoto, A.; Spinelli, I.; Murabito, F.; Chiovoloni, F.; Musmeci, R.; Scardapane, S.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A meta-learning approach for training explainable graph neural networks | 2022 | Spinelli, I.; Scardapane, S.; Uncini, A. | |
| Adaptive propagation graph convolutional network | 2020 | Spinelli, I; Scardapane, S; Uncini, A | |
| Combining stochastic explainers and subgraph neural networks can increase expressivity and interpretability | 2023 | Spinelli, Indro; Guerra, Michele; Bianchi, Filippo Maria; Scardapane, Simone | |
| Distributed training of graph convolutional networks | 2021 | Scardapane, S; Spinelli, I; Di Lorenzo, P | |
| Drop edges and adapt. A fairness enforcing fine-tuning for graph neural networks | 2023 | Spinelli, I.; Bianchini, R.; Scardapane, S. | |
| Efficient data augmentation using graph imputation neural networks | 2021 | Spinelli, I.; Scardapane, S.; Scarpiniti, M.; Uncini, A. | |
| Explainability in subgraphs-enhanced Graph Neural Networks | 2023 | Guerra, Michele; Spinelli, Indro; Scardapane, Simone; Bianchi, Filippo Maria | |
| Fairdrop. Biased edge dropout for enhancing fairness in graph representation learning | 2021 | Spinelli, Indro; Scardapane, Simone; Hussain, Amir; Uncini, Aurelio | |
| From latent graph to latent topology inference: differentiable cell complex module | 2024 | Battiloro, C.; Spinelli, I.; Telyatnikov, L.; Bronstein, M.; Scardapane, S.; Di Lorenzo, P. | |
| ICML 2023 topological deep learning challenge. Design and results | 2023 | Papillon, Mathilde; Hajij, Mustafa; Frantzen, Florian; Hoppe, Josef; Jenne, Helen; Mathe, Johan; Myers, Audun; Papamarkou, Theodore; Schaub, Michael T.; Zamzmi, Ghada; Birdal, Tolga; Dey, Tamal; Doster, Timothy; Emerson, Tegan H.; Gopalakrishnan, Gurusankar; Govil, D.; Grande, Vincent P.; Guzm'an-S'aenz, Aldo; Kvinge, Henry; Livesay, Neal; Meisner, Jan; Mukherjee, Soham; Samaga, Shreyas N.; Natesan Ramamurthy, Karthikeyan; Reddy Karri, Maneel; Rosen, Paul; Sanborn, Sophia; Scholkemper, Michael; Walters, Robin; Agerberg, Jens; Bokman, Georg; Barikbin, Sadrodin; Battiloro, Claudio; Bazhenov, Gleb; Bern('a)rdez, Guillermo; Brent, Aiden; Escalera, Sergio; Fiorellino, Simone; Gavrilev, Dmitrii; Hassanin, Mohammed; Hausner, Paul; Hoff Gardaa, Odin; Khamis, Abdelwahed; Lecha, M; Magai, German; Malygina, Tatiana; Melnyk, Pavlo; Ballester, Rub('e)n; Varma Nadimpalli, Kalyan; Nikitin, Alexander; Rabinowitz, Abraham; Salatiello, Alessandro; Scardapane, Simone; Scofano, Luca; Singh, Suraj; Sjolund, Jens; Snopov, Paul; Spinelli, Indro; Telyatnikov, Lev; Testa, Lucia; Yang, Maosheng; Yue, Yixiao; Zaghen, Olga; Zia, Ali; Miolane, Nina | |
| Interpreting black-box models. A review on explainable artificial intelligence | 2023 | Hassija, V.; Chamola, V.; Mahapatra, A.; Singal, A.; Goel, D.; Huang, K.; Scardapane, S.; Spinelli, I.; Mahmud, M.; Hussain, A. | |
| Length-Aware Motion Synthesis via Latent Diffusion | 2024 | Sampieri, Alessio; Palma, Alessio; Spinelli, Indro; Galasso, Fabio | |
| Machine Un-learning. An overview of techniques, applications, and future directions | 2023 | Sai, S.; Mittal, U.; Chamola, V.; Huang, K.; Spinelli, I.; Scardapane, S.; Tan, Z.; Hussain, A. | |
| Missing data imputation with adversarially-trained graph convolutional networks | 2020 | Spinelli, I; Scardapane, S; Uncini, A | |
| Re-identification of objects from aerial photos with hybrid siamese neural networks | 2022 | Devoto, A.; Spinelli, I.; Murabito, F.; Chiovoloni, F.; Musmeci, R.; Scardapane, S. |