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Federico Errica
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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 (ICLR), 2020, 2020
4722020
A Gentle Introduction to Deep Learning for Graphs
D Bacciu, F Errica, A Micheli, M Podda
Neural Networks 129 (September), 203-221, 2020
2912020
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 (ICML …, 2018
922018
Graph Mixture Density Networks
F Errica, D Bacciu, A Micheli
Proceedings of the 38th International Conference on Machine Learning (ICML …, 2021
242021
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 493, 217-243, 2022
212022
Probabilistic Learning on Graphs via Contextual Architectures
D Bacciu, F Errica, A Micheli
Journal of Machine Learning Research (JMLR) 21 (134), 1-39, 2020
182020
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
152021
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
142021
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
82021
The Infinite Contextual Graph Markov Model
D Castellana, F Errica, D Bacciu, A Micheli
International Conference on Machine Learning (ICML 2022), 2022
72022
Theoretically Expressive and Edge-aware Graph Learning
F Errica, D Bacciu, A Micheli
28th European Symposium on Artificial Neural Networks, Computational …, 2020
62020
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark
A Carta, A Cossu, F Errica, D Bacciu
Frontiers in Artificial Intelligence 5, 2022
52022
FA3L at SemEval-2017 task 3: A three embeddings recurrent neural network for question answering
G Attardi, A Carta, F Errica, A Madotto, L Pannitto
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017
52017
Deep Graph Networks for Drug Repurposing with Multi-Protein Targets
D Bacciu, F Errica, A Gravina, L Madeddu, M Podda, G Stilo
IEEE Transactions on Emerging Topics in Computing, 2023
42023
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 (ESANN), 2021
42021
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
F Errica
Neural Information Processing Systems (NeurIPS 2023), 2023
32023
Hidden Markov Models for Temporal Graph Representation Learning
F Errica, A Gravina, D Bacciu, A Micheli
Proceedings of the European Symposium on Artificial Neural Networks …, 2023
32023
Self-tuning Hamiltonian Monte Carlo for accelerated sampling
H Christiansen, F Errica, F Alesiani
The Journal of Chemical Physics 159 (23), 2023
22023
Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials
V Zaverkin, D Holzmüller, H Christiansen, F Errica, F Alesiani, ...
22023
PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs
F Errica, D Bacciu, A Micheli
Journal of Open Source Software (JOSS) 8 (90), 5713, 2023
22023
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