Pubblicazioni

Graph Neural Networks: Architectures, Applications, and Future Directions

2025 - IEEE ACCESS
Ponzi, V.; Napoli, C.

Dual-stream multi-dependency graph neural network enables precise cancer survival analysis

2024 - MEDICAL IMAGE ANALYSIS
Wang, Z.; Ma, J.; Gao, Q.; Bain, C.; Imoto, S.; Lio, P.; Cai, H.; Chen, H.; Song, J.

Nearest Neighbours Graph Variational AutoEncoder

2023 - ALGORITHMS
Arsini, Lorenzo; Caccia, Barbara; Ciardiello, Andrea; Giagu, Stefano; MANCINI TERRACCIANO, Carlo

Artificial neural networks exploiting point cloud data for fragmented solid objects classification

2023 - MACHINE LEARNING: SCIENCE AND TECHNOLOGY
Baiocchi, A.; Giagu, S.; Napoli, C.; Serra, M.; Nardelli, P.; Valleriani, M.

Drop edges and adapt. A fairness enforcing fine-tuning for graph neural networks

2023 - NEURAL NETWORKS
Spinelli, I.; Bianchini, R.; Scardapane, S.

A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1

2023 -
DI TEODORO, Giulia; Siciliano, Federico; Guarrasi, Valerio; Vandamme, Anne-Mieke; Ghisetti, Valeria; Sönnerborg, Anders; Zazzi, Maurizio; Silvestri, Fabrizio; Palagi, Laura

MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model

2023 - AI OPEN
Sun, Z.; Harit, A.; Cristea, A. I.; Wang, J.; Lio, P.

Efficient data augmentation using graph imputation neural networks

2021 - Progresses in Artificial Intelligence and Neural Systems
Spinelli, I.; Scardapane, S.; Scarpiniti, M.; Uncini, A.

Multimodal Graph Coarsening for Interpretable, MRI-Based Brain Graph Neural Network

2021 - IEEE International Workshop on Machine Learning for Signal Processing, MLSP
Sebenius, I.; Campbell, A.; Morgan, S. E.; Bullmore, E. T.; Lio, P.

Missing data imputation with adversarially-trained graph convolutional networks

2020 - NEURAL NETWORKS
Spinelli, I; Scardapane, S; Uncini, A

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