Follow
Federico Errica
Title
Cited by
Cited by
Year
A Fair Comparison of Graph Neural Networks for Graph Classification
F Errica, M Podda, D Bacciu, A Micheli
8th International Conference on Learning Representations, 2020, 2020
2642020
A Gentle Introduction to Deep Learning for Graphs
D Bacciu, F Errica, A Micheli, M Podda
Neural Networks 129 (September), 203-221, 2020
1512020
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing
D Bacciu, F Errica, A Micheli
Proceedings of the 35th International Conference on Machine Learning 80, 294-303, 2018
712018
Probabilistic Learning on Graphs via Contextual Architectures
D Bacciu, F Errica, A Micheli
Journal of Machine Learning Research 21 (134), 1-39, 2020
112020
Graph Mixture Density Networks
F Errica, D Bacciu, A Micheli
Proceedings of the 38th International Conference on Machine Learning, PMLR …, 2021
92021
A deep graph network-enhanced sampling approach to efficiently explore the space of reduced representations of proteins
F Errica, M Giulini, D Bacciu, R Menichetti, A Micheli, R Potestio
Frontiers in Molecular Biosciences 8, 136, 2021
62021
Theoretically Expressive and Edge-aware Graph Learning
F Errica, D Bacciu, A Micheli
28th European Symposium on Artificial Neural Networks, Computational …, 2020
62020
Modeling Edge Features with Deep Bayesian Graph Networks
D Atzeni, D Bacciu, F Errica, A Micheli
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
32021
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification
A Carta, A Cossu, F Errica, D Bacciu
WWW'21 Workshop on Graph Learning Benchmarks, 2021
32021
Robust Malware Classification via Deep Graph Networks on Call Graph Topologies
F Errica, G Iadarola, F Martinelli, F Mercaldo, A Micheli
European Symposium on Artificial Neural Networks, 2021
32021
Concept Matching for Low-Resource Classification
F Errica, F Silvestri, B Edizel, L Denoyer, F Petroni, V Plachouras, ...
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
22021
Towards Learning Trustworthily, Automatically, and with Guarantees on Graphs: an Overview
L Oneto, N Navarin, B Biggio, F Errica, A Micheli, F Scarselli, M Bianchini, ...
Neurocomputing, 2022
12022
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark
A Carta, A Cossu, F Errica, D Bacciu
Frontiers in Artificial Intelligence 5, 2022
12022
Accelerating the identification of informative reduced representations of proteins with deep learning for graphs
F Errica, M Giulini, D Bacciu, R Menichetti, A Micheli, R Potestio
arXiv preprint arXiv:2007.08658, 2020
12020
The Infinite Contextual Graph Markov Model
D Castellana, F Errica, D Bacciu, A Micheli
International Conference on Machine Learning, 2721-2737, 2022
2022
Bayesian Deep Learning for Graphs
F Errica
PhD Thesis, 2022
2022
Complex Data: Learning Trustworthily, Automatically, and with Guarantees
L Oneto, N Navarin, B Biggio, F Errica, A Micheli, F Scarselli, M Bianchini, ...
European Symposium on Artificial Neural Networks, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–17