Domenico Tortorella

Orcid: 0000-0003-3910-7713

According to our database1, Domenico Tortorella authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Designs of graph echo state networks for node classification.
Neurocomputing, 2024

Continuously Deep Recurrent Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Onion Echo State Networks - A Preliminary Analysis of Dynamics.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Addressing heterophily in node classification with graph echo state networks.
Neurocomputing, 2023

Is Rewiring Actually Helpful in Graph Neural Networks?
CoRR, 2023

Minimum Spanning Set Selection in Graph Kernels.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2023

Richness of Node Embeddings in Graph Echo State Networks.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022
Discrete-time dynamic graph echo state networks.
Neurocomputing, 2022

Leave Graphs Alone: Addressing Over-Squashing without Rewiring.
CoRR, 2022

Spectral Bounds for Graph Echo State Network Stability.
Proceedings of the International Joint Conference on Neural Networks, 2022

Hierarchical Dynamics in Deep Echo State Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Beyond Homophily with Graph Echo State Networks.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021
Dynamic Graph Echo State Networks.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021


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