Pubblicazioni

gRNAde: A Geometric Deep Learning Pipeline for 3D RNA Inverse Design

2025 - Methods in Molecular Biology
Joshi, C. K.; Lio, P.

Topological Message Passing for Higher - Order and Long - Range Interactions

2024 - 2024 International Joint Conference on Neural Networks (IJCNN)
Giusti, L.; Reu, T.; Ceccarelli, F.; Bodnar, C.; Lio, P.

Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back

2023 - IEEE ICASSP 2023
Battiloro, C.; Wang, Z.; Riess, H.; Di Lorenzo, P.; Ribeiro, A.

Cell Attention Networks

2023 - 2023 International Joint Conference on Neural Networks (IJCNN)
Giusti, Lorenzo; Battiloro, Claudio; Testa, Lucia; Di Lorenzo, Paolo; Sardellitti, Stefania; Barbarossa, Sergio

VISION GRAPH U-NET: GEOMETRIC LEARNING ENHANCED ENCODER FOR MEDICAL IMAGE SEGMENTATION AND RESTORATION

2023 - INVERSE PROBLEMS AND IMAGING
Jiang, Y.; Ding, Q.; Wang, Y. G.; Lio, P.; Zhang, X.

Deep Learning for Protein–Protein Interaction Site Prediction

2021 - Methods in Molecular Biology
Jamasb, A. R.; Day, B.; Cangea, C.; Lio, P.; Blundell, T. L.

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

2020 - NATURE METHODS
Gainza, P.; Sverrisson, F.; Monti, F.; Rodola, E.; Boscaini, D.; Bronstein, M. M.; Correia, B. E.

Geometric deep learning

2016 - SA 2016 - SIGGRAPH ASIA 2016 Courses
Masci, Jonathan; Rodolà, Emanuele; Boscaini, Davide; Bronstein, Michael M.; Hao, Li

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