Micheli, Alessio

11 publications

MLJ 2025 Bridging XAI and Spectral Analysis to Investigate the Inductive Biases of Deep Graph Networks Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella

MLJ 2025 Efficient Quantification on Large-Scale Networks Alessio Micheli, Alejandro Moreo, Marco Podda, Fabrizio Sebastiani, William Simoni, Domenico Tortorella

ECML-PKDD 2024 Continuously Deep Recurrent Neural Networks Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella

ICML 2022 The Infinite Contextual Graph Markov Model Daniele Castellana, Federico Errica, Davide Bacciu, Alessio Micheli

ICML 2021 Graph Mixture Density Networks Federico Errica, Davide Bacciu, Alessio Micheli

AISTATS 2020 A Deep Generative Model for Fragment-Based Molecule Generation Marco Podda, Davide Bacciu, Alessio Micheli

ICLR 2020 A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli

AAAI 2020 Fast and Deep Graph Neural Networks Claudio Gallicchio, Alessio Micheli

MLOSS 2020 Probabilistic Learning on Graphs via Contextual Architectures Davide Bacciu, Federico Errica, Alessio Micheli

ICML 2018 Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing Davide Bacciu, Federico Errica, Alessio Micheli

ICML 2018 Tree Edit Distance Learning via Adaptive Symbol Embeddings Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer