Sfoglia per Autore
Training-free Source Attribution of AI-generated Images via Resynthesis
2025-01-01 Bongini, Pietro; Molinari, Valentina; Costanzo, Andrea; Tondi, Benedetta; Barni, Mauro
MOLGMP: A Markov approach for molecular graph generation with GNNs
2025-01-01 Goupil, Benoıt; Joly, Antonin; Pancino, Niccoló; Bongini, Pietro; Scarselli, Franco; Bianchini, Monica
GrapHisto: A Robust Representation of Graph-Structured Data for Graph Convolutional Networks
2025-01-01 Benini, Marco; Bongini, Pietro; Trentin, Edmondo
NeuraGED: A GNN estimation for Graph–Edit Distance
2024-01-01 Bacconi, Sara; Costanti, Filippo; Bianchini, Monica; Pancino, Niccolo; Bongini, Pietro
Point-Wise Ribosome Translation Speed Prediction with Recurrent Neural Networks
2024-01-01 Bongini, Pietro; Pancino, Niccolo; Lachi, Veronica; Graziani, Caterina; Giacomini, Giorgia; Andreini, Paolo; Bianchini, Monica
Protein–protein interfaces: A Graph Neural Network approach
2024-01-01 Pancino, Niccolo; Gallegati, Caterina; Romagnoli, Fiamma; Bongini, Pietro; Bianchini, Monica
Composite Graph Neural Networks for Molecular Property Prediction
2024-01-01 Bongini, Pietro; Pancino, Niccolo; Bendjeddou, Asma; Scarselli, Franco; Maggini, Marco; Bianchini, Monica
Graph Neural Networks for Drug Discovery: An Integrated Decision Support Pipeline
2023-01-01 Bongini, Pietro
A Novel Representation of Graphical Patterns for Graph Convolution Networks
2023-01-01 Benini, Marco; Bongini, Pietro; Trentin, Edmondo
BioGNN: How Graph Neural Networks Can Solve Biological Problems
2023-01-01 Bongini, P.; Pancino, N.; Scarselli, F.; Bianchini, M.
Modular multi-source prediction of drug side-effects with DruGNN
2023-01-01 Bongini, Pietro; Scarselli, Franco; Bianchini, Monica; Dimitri, Giovanna Maria; Pancino, Niccoló; Lio, Pietro
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs
2023-01-01 Bongini, Pietro; Messori, Elisa; Pancino, Niccolo; Bianchini, Monica
Omicron variants of SARS CoV-2 indicate a new antiviral strategy: Interfere with spike glycoprotein trimerization
2023-01-01 Niccolai, Neri; Trezza, Alfonso; Marchini, Federico; Bongini, Pietro; Bianchini, Monica; Santucci, Annalisa; Spiga, Ottavia; Visibelli, Anna
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview
2022-01-01 Oneto, Luca; Navarin, Nicoló; Biggio, Battista; Errica, Federico; Micheli, Alessio; Scarselli, Franco; Bianchini, Monica; Demetrio, Luca; Bongini, Pietro; Tacchella, Armando; Sperduti, Alessandro
A Neural Network Approach for the Analysis of Reproducible Ribo–Seq Profiles
2022-01-01 Giacomini, Giorgia; Graziani, Caterina; Lachi, Veronica; Bongini, Pietro; Pancino, Niccolò; Bianchini, Monica; Chiarugi, Davide; Valleriani, Angelo; Andreini, Paolo
Structural bioinformatic survey of protein-small molecule interfaces delineates the role of glycine in surface pocket formation
2022-01-01 Bongini, Pietro; Niccolai, Neri; Trezza, Alfonso; Mangiavacchi, Guido; Santucci, Annalisa; Spiga, Ottavia; Bianchini, Monica; Gardini, Simone
GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing
2022-01-01 Pancino, Niccolo'; Bongini, Pietro; Scarselli, Franco; Bianchini, Monica
A Bioinformatics Approach to Investigate Structural and Non-Structural Proteins in Human Coronaviruses
2022-01-01 Cicaloni, V.; Costanti, F.; Pasqui, A.; Bianchini, M.; Niccolai, N.; Bongini, P.
Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain
2022-01-01 Pancino, Niccolò; Perron, Yohann; Bongini, Pietro; Scarselli, Franco
CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients
2021-01-01 Guerranti, F.; Mannino, M.; Baccini, F.; Bongini, P.; Pancino, N.; Visibelli, A.; Marziali, S.
| Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
|---|---|---|---|---|
| Training-free Source Attribution of AI-generated Images via Resynthesis | 1-gen-2025 | Bongini, Pietro; Molinari, Valentina; Costanzo, Andrea; Tondi, Benedetta; Barni, Mauro | - | |
| MOLGMP: A Markov approach for molecular graph generation with GNNs | 1-gen-2025 | Goupil, Benoıt; Joly, Antonin; Pancino, Niccoló; Bongini, Pietro; Scarselli, Franco; Bianchini, Monica | - | |
| GrapHisto: A Robust Representation of Graph-Structured Data for Graph Convolutional Networks | 1-gen-2025 | Benini, Marco; Bongini, Pietro; Trentin, Edmondo | - | |
| NeuraGED: A GNN estimation for Graph–Edit Distance | 1-gen-2024 | Bacconi, Sara; Costanti, Filippo; Bianchini, Monica; Pancino, Niccolo; Bongini, Pietro | - | |
| Point-Wise Ribosome Translation Speed Prediction with Recurrent Neural Networks | 1-gen-2024 | Bongini, Pietro; Pancino, Niccolo; Lachi, Veronica; Graziani, Caterina; Giacomini, Giorgia; Andreini, Paolo; Bianchini, Monica | - | |
| Protein–protein interfaces: A Graph Neural Network approach | 1-gen-2024 | Pancino, Niccolo; Gallegati, Caterina; Romagnoli, Fiamma; Bongini, Pietro; Bianchini, Monica | - | |
| Composite Graph Neural Networks for Molecular Property Prediction | 1-gen-2024 | Bongini, Pietro; Pancino, Niccolo; Bendjeddou, Asma; Scarselli, Franco; Maggini, Marco; Bianchini, Monica | - | |
| Graph Neural Networks for Drug Discovery: An Integrated Decision Support Pipeline | 1-gen-2023 | Bongini, Pietro | - | |
| A Novel Representation of Graphical Patterns for Graph Convolution Networks | 1-gen-2023 | Benini, Marco; Bongini, Pietro; Trentin, Edmondo | - | |
| BioGNN: How Graph Neural Networks Can Solve Biological Problems | 1-gen-2023 | Bongini, P.; Pancino, N.; Scarselli, F.; Bianchini, M. | - | |
| Modular multi-source prediction of drug side-effects with DruGNN | 1-gen-2023 | Bongini, Pietro; Scarselli, Franco; Bianchini, Monica; Dimitri, Giovanna Maria; Pancino, Niccoló; Lio, Pietro | - | |
| A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs | 1-gen-2023 | Bongini, Pietro; Messori, Elisa; Pancino, Niccolo; Bianchini, Monica | - | |
| Omicron variants of SARS CoV-2 indicate a new antiviral strategy: Interfere with spike glycoprotein trimerization | 1-gen-2023 | Niccolai, Neri; Trezza, Alfonso; Marchini, Federico; Bongini, Pietro; Bianchini, Monica; Santucci, Annalisa; Spiga, Ottavia; Visibelli, Anna | - | |
| Towards learning trustworthily, automatically, and with guarantees on graphs: An overview | 1-gen-2022 | Oneto, Luca; Navarin, Nicoló; Biggio, Battista; Errica, Federico; Micheli, Alessio; Scarselli, Franco; Bianchini, Monica; Demetrio, Luca; Bongini, Pietro; Tacchella, Armando; Sperduti, Alessandro | - | |
| A Neural Network Approach for the Analysis of Reproducible Ribo–Seq Profiles | 1-gen-2022 | Giacomini, Giorgia; Graziani, Caterina; Lachi, Veronica; Bongini, Pietro; Pancino, Niccolò; Bianchini, Monica; Chiarugi, Davide; Valleriani, Angelo; Andreini, Paolo | - | |
| Structural bioinformatic survey of protein-small molecule interfaces delineates the role of glycine in surface pocket formation | 1-gen-2022 | Bongini, Pietro; Niccolai, Neri; Trezza, Alfonso; Mangiavacchi, Guido; Santucci, Annalisa; Spiga, Ottavia; Bianchini, Monica; Gardini, Simone | - | |
| GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing | 1-gen-2022 | Pancino, Niccolo'; Bongini, Pietro; Scarselli, Franco; Bianchini, Monica | - | |
| A Bioinformatics Approach to Investigate Structural and Non-Structural Proteins in Human Coronaviruses | 1-gen-2022 | Cicaloni, V.; Costanti, F.; Pasqui, A.; Bianchini, M.; Niccolai, N.; Bongini, P. | - | |
| Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain | 1-gen-2022 | Pancino, Niccolò; Perron, Yohann; Bongini, Pietro; Scarselli, Franco | - | |
| CaregiverMatcher: graph neural networks for connecting caregivers of rare disease patients | 1-gen-2021 | Guerranti, F.; Mannino, M.; Baccini, F.; Bongini, P.; Pancino, N.; Visibelli, A.; Marziali, S. | - |
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