Sfoglia per Autore
Weisfeiler–Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs
2024-01-01 Beddar-Wiesing, Silvia; D’Inverno, Giuseppe Alessio; Graziani, Caterina; Lachi, Veronica; Moallemy-Oureh, Alice; Scarselli, Franco; Thomas, Josephine Maria
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
2023-01-01 Longa, A.; Lachi, V.; Santin, G.; Bianchini, M.; Lepri, B.; Liò, P.; Scarselli, F.; Passerini, A.
No PAIN no Gain: More Expressive GNNs with Paths
2023-01-01 Graziani, Caterina; Drucks, Tamara; Bianchini, Monica; Scarselli, Franco; Gärtner, Thomas
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities
2023-01-01 Suarez-Varela, J.; Almasan, P.; Ferriol-Galmes, M.; Rusek, K.; Geyer, F.; Cheng, X.; Shi, X.; Xiao, S.; Scarselli, F.; Cabellos-Aparicio, A.; Barlet-Ros, P.
Going Deeper with Recursive Convolutional Layers
2023-01-01 Chagnon, J.; Hagenbuchner, M.; Tsoi, A. C.; Scarselli, F.
BioGNN: How Graph Neural Networks Can Solve Biological Problems
2023-01-01 Bongini, P.; Pancino, N.; Scarselli, F.; Bianchini, M.
Multi-stage Synthetic Image Generation for the Semantic Segmentation of Medical Images
2023-01-01 Andreini, Paolo; Bonechi, Simone; Ciano, Giorgio; Graziani, Caterina; Lachi, Veronica; Nikoloulopoulou, Natalia; Bianchini, Monica; Scarselli, Franco
A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings
2023-01-01 Intravaia, M.; Fort, A.; Landi, E.; Mugnaini, M.; Bianchini, M.; Corradini, B. T.; Scarselli, F.; Tanfoni, M.; Spinelli, F.
A Deep Learning Approach to Analyze NMR Spectra of SH-SY5Y Cells for Alzheimer’s Disease Diagnosis
2023-01-01 Costanti, Filippo; Kola, Arian; Scarselli, Franco; Valensin, Daniela; Bianchini, Monica
Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks
2023-01-01 Corradini, Barbara Toniella; Andreini, Paolo; Hagenbuchner, Markus; Scarselli, Franco; Tsoi, Ah Chung
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
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
Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain
2022-01-01 Pancino, Niccolo; Perron, Yohann; Bongini, Pietro; Scarselli, Franco
A Two-Stage GAN for High-Resolution Retinal Image Generation and Segmentation
2022-01-01 Andreini, Paolo; Ciano, Giorgio; Bonechi, Simone; Graziani, Caterina; Lachi, Veronica; Mecocci, Alessandro; Sodi, Andrea; Scarselli, Franco; Bianchini, Monica
Modular multi-source prediction of drug side-effects with DruGNN
2022-01-01 Bongini, Pietro; Scarselli, Franco; Bianchini, Monica; Dimitri, Giovanna Maria; Pancino, Niccoló; Lio, Pietro
Message from the Workshop Chairs
2022-01-01 Barlet-Ros, Pere; Casas, Pedro; Scarselli, Franco; Cheng, Xiangle; Cabellos, Albert
Smart Gravimetric System for Enhanced Security of Accesses to Public Places Embedding a MobileNet Neural Network Classifier
2022-01-01 Addabbo, Tommaso; Fort, Ada; Mugnaini, Marco; Vignoli, Valerio; Intravaia, Matteo; Tani, Marco; Bianchini, Monica; Scarselli, Franco; Corradini, BARBARA TONIELLA
Deep Learning Approaches for the Segmentation of Glomeruli in Kidney Histopathological Images
2022-01-01 Dimitri, G. M.; Andreini, P.; Bonechi, S.; Bianchini, M.; Mecocci, A.; Scarselli, F.; Zacchi, A.; Garosi, G.; Marcuzzo, T.; Tripodi, S. A.
TG-DGM: Clustering Brain Activity using a Temporal Graph Deep Generative Mode
2021-01-01 Emilov Spasov, Simeon; Campbell, Alexander; Dimitri, GIOVANNA MARIA; Di Stefano, Alessandro; Scarselli, Franco; Lio, Pietro
Molecular generative Graph Neural Networks for Drug Discovery
2021-01-01 Bongini, Pietro; Bianchini, Monica; Scarselli, Franco
| Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
|---|---|---|---|---|
| Weisfeiler–Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs | 1-gen-2024 | Beddar-Wiesing, Silvia; D’Inverno, Giuseppe Alessio; Graziani, Caterina; Lachi, Veronica; Moallemy-Oureh, Alice; Scarselli, Franco; Thomas, Josephine Maria | - | |
| Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities | 1-gen-2023 | Longa, A.; Lachi, V.; Santin, G.; Bianchini, M.; Lepri, B.; Liò, P.; Scarselli, F.; Passerini, A. | - | |
| No PAIN no Gain: More Expressive GNNs with Paths | 1-gen-2023 | Graziani, Caterina; Drucks, Tamara; Bianchini, Monica; Scarselli, Franco; Gärtner, Thomas | - | |
| Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities | 1-gen-2023 | Suarez-Varela, J.; Almasan, P.; Ferriol-Galmes, M.; Rusek, K.; Geyer, F.; Cheng, X.; Shi, X.; Xiao, S.; Scarselli, F.; Cabellos-Aparicio, A.; Barlet-Ros, P. | - | |
| Going Deeper with Recursive Convolutional Layers | 1-gen-2023 | Chagnon, J.; Hagenbuchner, M.; Tsoi, A. C.; Scarselli, F. | - | |
| BioGNN: How Graph Neural Networks Can Solve Biological Problems | 1-gen-2023 | Bongini, P.; Pancino, N.; Scarselli, F.; Bianchini, M. | - | |
| Multi-stage Synthetic Image Generation for the Semantic Segmentation of Medical Images | 1-gen-2023 | Andreini, Paolo; Bonechi, Simone; Ciano, Giorgio; Graziani, Caterina; Lachi, Veronica; Nikoloulopoulou, Natalia; Bianchini, Monica; Scarselli, Franco | - | |
| A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings | 1-gen-2023 | Intravaia, M.; Fort, A.; Landi, E.; Mugnaini, M.; Bianchini, M.; Corradini, B. T.; Scarselli, F.; Tanfoni, M.; Spinelli, F. | - | |
| A Deep Learning Approach to Analyze NMR Spectra of SH-SY5Y Cells for Alzheimer’s Disease Diagnosis | 1-gen-2023 | Costanti, Filippo; Kola, Arian; Scarselli, Franco; Valensin, Daniela; Bianchini, Monica | - | |
| Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks | 1-gen-2023 | Corradini, Barbara Toniella; Andreini, Paolo; Hagenbuchner, Markus; Scarselli, Franco; Tsoi, Ah Chung | - | |
| 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 | - | |
| 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 | - | |
| Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain | 1-gen-2022 | Pancino, Niccolo; Perron, Yohann; Bongini, Pietro; Scarselli, Franco | - | |
| A Two-Stage GAN for High-Resolution Retinal Image Generation and Segmentation | 1-gen-2022 | Andreini, Paolo; Ciano, Giorgio; Bonechi, Simone; Graziani, Caterina; Lachi, Veronica; Mecocci, Alessandro; Sodi, Andrea; Scarselli, Franco; Bianchini, Monica | - | |
| Modular multi-source prediction of drug side-effects with DruGNN | 1-gen-2022 | Bongini, Pietro; Scarselli, Franco; Bianchini, Monica; Dimitri, Giovanna Maria; Pancino, Niccoló; Lio, Pietro | - | |
| Message from the Workshop Chairs | 1-gen-2022 | Barlet-Ros, Pere; Casas, Pedro; Scarselli, Franco; Cheng, Xiangle; Cabellos, Albert | - | |
| Smart Gravimetric System for Enhanced Security of Accesses to Public Places Embedding a MobileNet Neural Network Classifier | 1-gen-2022 | Addabbo, Tommaso; Fort, Ada; Mugnaini, Marco; Vignoli, Valerio; Intravaia, Matteo; Tani, Marco; Bianchini, Monica; Scarselli, Franco; Corradini, BARBARA TONIELLA | - | |
| Deep Learning Approaches for the Segmentation of Glomeruli in Kidney Histopathological Images | 1-gen-2022 | Dimitri, G. M.; Andreini, P.; Bonechi, S.; Bianchini, M.; Mecocci, A.; Scarselli, F.; Zacchi, A.; Garosi, G.; Marcuzzo, T.; Tripodi, S. A. | - | |
| TG-DGM: Clustering Brain Activity using a Temporal Graph Deep Generative Mode | 1-gen-2021 | Emilov Spasov, Simeon; Campbell, Alexander; Dimitri, GIOVANNA MARIA; Di Stefano, Alessandro; Scarselli, Franco; Lio, Pietro | - | |
| Molecular generative Graph Neural Networks for Drug Discovery | 1-gen-2021 | Bongini, Pietro; Bianchini, Monica; Scarselli, Franco | - |
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