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Scarselli, Franco
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1

On the approximation capability of GNNs in node classificat..:

D'Inverno, Giuseppe Alessio ; Bianchini, Monica ; Sampoli, Maria Lucia.
Soft Computing.  , 2024
Link: https://doi.org/10.1007/..
 
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2

Weisfeiler–Lehman goes dynamic: An analysis of the expressi..:

Beddar-Wiesing, Silvia ; D'Inverno, Giuseppe Alessio ; Graziani, Caterina...
Neural Networks.  173 (2024)  - p. 106213 , 2024
Link: https://doi.org/10.1016/..
 
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3

On the effects of recursive convolutional layers in convolu..:

Chagnon, Johan ; Hagenbuchner, Markus ; Tsoi, Ah Chung.
Neurocomputing.  591 (2024)  - p. 127767 , 2024
Link: https://doi.org/10.1016/..
 
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4

A topological description of loss surfaces based on Betti N..:

Bucarelli, Maria Sofia ; D'Inverno, Giuseppe Alessio ; Bianchini, Monica..
Neural Networks.  178 (2024)  - p. 106465 , 2024
Link: https://doi.org/10.1016/..
 
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5

Composite Graph Neural Networks for Molecular Property Pred..:

Bongini, Pietro ; Pancino, Niccolò ; Bendjeddou, Asma...
International Journal of Molecular Sciences.  25 (2024)  12 - p. 6583 , 2024
Link: https://doi.org/10.3390/..
 
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6

Going Deeper with Recursive Convolutional Layers:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Chagnon, Johan ; Hagenbuchner, Markus ; Tsoi, Ah Chung. - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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7

Proceedings of the 2nd on Graph Neural Networking Workshop ..:

Barlet-Ros, Pere ; Casas, Pedro ; Scarselli, Franco.. , 2023
Link: https://dl.acm.org/doi/1..
 
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8

Modular Multi–Source Prediction of Drug Side–Effects With D..:

Bongini, Pietro ; Scarselli, Franco ; Bianchini, Monica...
IEEE/ACM Transactions on Computational Biology and Bioinformatics.  20 (2023)  2 - p. 1211-1220 , 2023
Link: https://doi.org/10.1109/..
 
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9

Exploring the Role of Recursive Convolutional Layer in Gene..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2023; Lecture Notes in Computer Science,
Corradini, Barbara Toniella ; Andreini, Paolo ; Hagenbuchner, Markus.. - p. 53-64 , 2023
Link: https://doi.org/10.1007/..
 
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10

A MobileNet Neural Network Model for Fault Diagnosis in Rol..:

, In: 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC),
Landi, Elia ; Spinelli, Filippo ; Intravaia, Matteo... - p. 01-06 , 2023
Link: https://doi.org/10.1109/..
 
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11

A Deep Learning Approach to Analyze NMR Spectra of SH-SY5Y ..:

Costanti, Filippo ; Kola, Arian ; Scarselli, Franco..
Mathematics.  11 (2023)  12 - p. 2664 , 2023
Link: https://doi.org/10.3390/..
 
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12

Graph Neural Networks for Communication Networks: Context, ..:

Suárez-Varela, José ; Almasan, Paul ; Ferriol-Galmés, Miquel...
IEEE Network.  37 (2023)  3 - p. 146-153 , 2023
Link: https://doi.org/10.1109/..
 
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13

Deep Learning Approaches for the Segmentation of Glomeruli ..:

Dimitri, Giovanna Maria ; Andreini, Paolo ; Bonechi, Simone...
Mathematics.  10 (2022)  11 - p. 1934 , 2022
Link: https://doi.org/10.3390/..
 
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14

BioGNN: How Graph Neural Networks Can Solve Biological Prob..:

, In: Intelligent Systems Reference Library; Artificial Intelligence and Machine Learning for Healthcare,
Bongini, Pietro ; Pancino, Niccolò ; Scarselli, Franco. - p. 211-231 , 2022
Link: https://doi.org/10.1007/..
 
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15

Multi-stage Synthetic Image Generation for the Semantic Seg..:

, In: Intelligent Systems Reference Library; Artificial Intelligence and Machine Learning for Healthcare,
Andreini, Paolo ; Bonechi, Simone ; Ciano, Giorgio... - p. 79-104 , 2022
Link: https://doi.org/10.1007/..
 
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