Dynamic Graph Echo State Networks. - Domenico Tortorella; Alessio Micheli (ESANN, 2021)

Beyond Homophily with Graph Echo State Networks. - Domenico Tortorella; Alessio Micheli (ESANN, 2022)

Hierarchical Dynamics in Deep Echo State Networks. - Domenico Tortorella; Claudio Gallicchio; Alessio Micheli (ICANN (3), 2022)

Spectral Bounds for Graph Echo State Network Stability. - Domenico Tortorella; Claudio Gallicchio; Alessio Micheli (IJCNN, 2022)

Leave Graphs Alone: Addressing Over-Squashing without Rewiring. - Domenico Tortorella; Alessio Micheli (CoRR, 2022)

Discrete-time dynamic graph echo state networks. - Alessio Micheli; Domenico Tortorella (Neurocomputing, 2022)

Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm. - Matteo Pardi; Domenico Tortorella; Alessio Micheli (ESANN, 2023)

Richness of Node Embeddings in Graph Echo State Networks. - Domenico Tortorella; Alessio Micheli (ESANN, 2023)

Minimum Spanning Set Selection in Graph Kernels. - Domenico Tortorella; Alessio Micheli (GbRPR, 2023)

Is Rewiring Actually Helpful in Graph Neural Networks? - Domenico Tortorella; Alessio Micheli (CoRR, 2023)

Addressing heterophily in node classification with graph echo state networks. - Alessio Micheli; Domenico Tortorella (Neurocomputing, 2023)

Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity. - Michele Fontanesi; Alessio Micheli; Marco Podda; Domenico Tortorella (DS (1), 2024)

Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification. - Domenico Tortorella; Alessio Micheli (ESANN, 2024)

Onion Echo State Networks - A Preliminary Analysis of Dynamics. - Domenico Tortorella; Alessio Micheli (ICANN (10), 2024)

Continuously Deep Recurrent Neural Networks. - Andrea Ceni; Peter Ford Dominey; Claudio Gallicchio; Alessio Micheli; Luca Pedrelli; Domenico Tortorella (ECML/PKDD (7), 2024)

Designs of graph echo state networks for node classification. - Alessio Micheli; Domenico Tortorella (Neurocomputing, 2024)

An Empirical Investigation of Shortcuts in Graph Learning. - Domenico Tortorella; Michele Fontanesi; Alessio Micheli; Marco Podda (GbRPR, 2025)

An empirical evaluation of rewiring approaches in graph neural networks. - Alessio Micheli; Domenico Tortorella (Pattern Recognit. Lett., 2025)

Learning to quantify graph nodes. - Alessio Micheli; Alejandro Moreo; Marco Podda; Fabrizio Sebastiani 001; William Simoni; Domenico Tortorella (CoRR, 2025)

Addressing the Scarcity of Benchmarks for Graph XAI. - Michele Fontanesi; Alessio Micheli; Marco Podda; Domenico Tortorella (CoRR, 2025)