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
1402020
A Gentle Introduction to Deep Learning for Graphs
D Bacciu, F Errica, A Micheli, M Podda
Neural Networks 129 (September), 203-221, 2020
842020
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
472018
Probabilistic Learning on Graphs via Contextual Architectures
D Bacciu, F Errica, A Micheli
Journal of Machine Learning Research 21 (134), 1-39, 2020
42020
Theoretically Expressive and Edge-aware Graph Learning
F Errica, D Bacciu, A Micheli
28th European Symposium on Artificial Neural Networks, Computational …, 2020
42020
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
22021
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
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
2021
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
2021
Graph Mixture Density Networks
F Errica, D Bacciu, A Micheli
Proceedings of the 38th International Conference on Machine Learning, PMLR …, 2021
2021
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
2021
A generative approach for learning contexts in graphs
F ERRICA
2018
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Articles 1–12