Domenico Tortorella

According to our database, Domenico Tortorella authored at least 20 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Addressing the Scarcity of Benchmarks for Graph XAI.

Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella

CoRR, May, 2025

Learning to quantify graph nodes.

Alessio Micheli, Alejandro Moreo, Marco Podda, Fabrizio Sebastiani, William Simoni, Domenico Tortorella

CoRR, March, 2025

An empirical evaluation of rewiring approaches in graph neural networks.

Alessio Micheli, Domenico Tortorella

Pattern Recognit. Lett., 2025

An Empirical Investigation of Shortcuts in Graph Learning.

Domenico Tortorella, Michele Fontanesi, Alessio Micheli, Marco Podda

Proceedings of the Graph-Based Representations in Pattern Recognition, 2025

2024

Designs of graph echo state networks for node classification.

Alessio Micheli, Domenico Tortorella

Neurocomputing, 2024

Continuously Deep Recurrent Neural Networks.

Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Onion Echo State Networks - A Preliminary Analysis of Dynamics.

Domenico Tortorella, Alessio Micheli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification.

Domenico Tortorella, Alessio Micheli

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity.

Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella

Proceedings of the Discovery Science - 27th International Conference, 2024

2023

Addressing heterophily in node classification with graph echo state networks.

Alessio Micheli, Domenico Tortorella

Neurocomputing, 2023

Is Rewiring Actually Helpful in Graph Neural Networks?

Domenico Tortorella, Alessio Micheli

CoRR, 2023

Minimum Spanning Set Selection in Graph Kernels.

Domenico Tortorella, Alessio Micheli

Proceedings of the Graph-Based Representations in Pattern Recognition, 2023

Richness of Node Embeddings in Graph Echo State Networks.

Domenico Tortorella, Alessio Micheli

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm.

Matteo Pardi, Domenico Tortorella, Alessio Micheli

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Discrete-time dynamic graph echo state networks.

Alessio Micheli, Domenico Tortorella

Neurocomputing, 2022

Leave Graphs Alone: Addressing Over-Squashing without Rewiring.

Domenico Tortorella, Alessio Micheli

CoRR, 2022

Spectral Bounds for Graph Echo State Network Stability.

Domenico Tortorella, Claudio Gallicchio, Alessio Micheli

Proceedings of the International Joint Conference on Neural Networks, 2022

Hierarchical Dynamics in Deep Echo State Networks.

Domenico Tortorella, Claudio Gallicchio, Alessio Micheli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Beyond Homophily with Graph Echo State Networks.

Domenico Tortorella, Alessio Micheli

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Dynamic Graph Echo State Networks.

Domenico Tortorella, Alessio Micheli

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021