ERRICA, FEDERICO Statistiche

ERRICA, FEDERICO  

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Titolo Data di pubblicazione Autore(i) File
Deep Graph Networks for Drug Repurposing with Multi-Protein Targets 1-gen-2023 Bacciu, Davide; Errica, Federico; Gravina, Alessio; Madeddu, Lorenzo; Podda, Marco; Stilo, Giovanni
Graph Representation Learning 1-gen-2023 Bacciu, Davide; Errica, Federico; Micheli, Alessio; Navarin, Nicolò; Pasa, Luca; Podda, Marco; Zambon, Daniele
Hidden Markov Models for Temporal Graph Representation Learning 1-gen-2023 Errica, Federico; Gravina, Alessio; Bacciu, Davide; Micheli, Alessio
PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs 1-gen-2023 Errica, Federico; Bacciu, Davide; Micheli, Alessio
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark 1-gen-2022 Carta, Antonio; Cossu, Andrea; Errica, Federico; Bacciu, Davide
The Infinite Contextual Graph Markov Model 1-gen-2022 Castellana, D; Errica, F; Bacciu, D; Micheli, A
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview 1-gen-2022 Oneto, Luca; Navarin, Nicol??; Biggio, Battista; Errica, Federico; Micheli, Alessio; Scarselli, Franco; Bianchini, Monica; Demetrio, Luca; Bongini, Pietro; Tacchella, Armando; Sperduti, Alessandro
A Deep Graph Network–Enhanced Sampling Approach to Efficiently Explore the Space of Reduced Representations of Proteins 1-gen-2021 Errica, F.; Giulini, M.; Bacciu, D.; Menichetti, R.; Micheli, A.; Potestio, R.
Complex Data: Learning Trustworthily, Automatically, and with Guarantees 1-gen-2021 Oneto, Luca; Navarin, Nicolò; Biggio, Battista; Errica, Federico; Micheli, Alessio; Scarselli, Franco; Bianchini, Monica; Sperduti, Alessandro
Graph Mixture Density Networks 1-gen-2021 Errica, F; Bacciu, D; Micheli, A
Modeling Edge Features with Deep Bayesian Graph Networks 1-gen-2021 Atzeni, D.; Bacciu, D.; Errica, F.; Micheli, A.
A Fair Comparison of Graph Neural Networks for Graph Classification 1-gen-2020 Errica, Federico; Podda, Marco; Bacciu, Davide; Micheli, Alessio
A gentle introduction to deep learning for graphs 1-gen-2020 Bacciu, D.; Errica, F.; Micheli, A.; Podda, M.
Probabilistic learning on graphs via contextual architectures 1-gen-2020 Bacciu, D.; Errica, F.; Micheli, A.
Theoretically Expressive and Edge-aware GraphLearning 1-gen-2020 Errica, Federico; Bacciu, Davide; Micheli, Alessio
Contextual graph markov model: A deep and generative approach to graph processing 1-gen-2018 Bacciu, Davide; Errica, Federico; Micheli, Alessio