Federico Errica

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Davide BacciuDipartimento di Informatica, Università di PisaVerified email at di.unipi.it
Alessio MicheliDepartment of Computer Science, University of PisaVerified email at di.unipi.it
Marco PoddaAssistant Professor, University of PisaVerified email at unipi.it
Antonio CartaAssistant Professor @ Università di PisaVerified email at unipi.it
Henrik ChristiansenNEC Laboratories EuropeVerified email at neclab.eu
Francesco AlesianiNEC Laboratories EuropeVerified email at neclab.eu
Mathias NiepertUniversity of Stuttgart & NEC Labs EuropeVerified email at ki.uni-stuttgart.de
Andrea CossuAssistant Professor, University of PisaVerified email at unipi.it
Viktor ZaverkinNEC Laboratories EuropeVerified email at neclab.eu
Franco ScarselliUniversity of SienaVerified email at unisi.it
Alessandro SperdutiUniversity of PadovaVerified email at math.unipd.it
Luca OnetoDIBRIS - University of GenoaVerified email at unige.it
Battista BiggioFull Professor, University of Cagliari, ItalyVerified email at unica.it
Daniele CastellanaResearch Fellow at University of FlorenceVerified email at unifi.it
Alessio GravinaUniversity of PisaVerified email at phd.unipi.it
Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindVerified email at cs.ucl.ac.uk
Fabrizio SilvestriSapienza, University of RomeVerified email at uniroma1.it
Ludovic DenoyerUbisoft, ex Facebook - FAIR -- Full Professor at Sorbonne Universités on SabaticalVerified email at ubisoft.com
Julia GastingerUniversity of MannheimVerified email at uni-mannheim.de
Roberto BifulcoNEC Laboratories EuropeVerified email at neclab.eu

Federico Errica

Senior Research Scientist, NEC Laboratories Europe

Verified email at neclab.eu - Homepage

Graph Representation Learning Probabilistic Models Machine Learning Graph Neural Networks


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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	506	2020
A Gentle Introduction to Deep Learning for Graphs D Bacciu, F Errica, A Micheli, M Podda Neural Networks 129 (September), 203-221, 2020	318	2020
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	97	2018
Graph Mixture Density Networks F Errica, D Bacciu, A Micheli Proceedings of the 38th International Conference on Machine Learning (ICML …, 2021	25	2021
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	24	2022
Probabilistic Learning on Graphs via Contextual Architectures D Bacciu, F Errica, A Micheli Journal of Machine Learning Research (JMLR) 21 (134), 1-39, 2020	19	2020
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	18	2021
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	14	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	8	2021
The Infinite Contextual Graph Markov Model D Castellana, F Errica, D Bacciu, A Micheli International Conference on Machine Learning (ICML 2022), 2022	7	2022
Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials V Zaverkin, D Holzmüller, H Christiansen, F Errica, F Alesiani, ...	6	2023
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark A Carta, A Cossu, F Errica, D Bacciu Frontiers in Artificial Intelligence 5, 2022	6	2022
Theoretically Expressive and Edge-aware Graph Learning F Errica, D Bacciu, A Micheli 28th European Symposium on Artificial Neural Networks, Computational …, 2020	6	2020
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	5	2017
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks F Errica, M Niepert International Conference on Learning Representations (ICLR 2024), 2024	4	2024
Self-tuning Hamiltonian Monte Carlo for accelerated sampling H Christiansen, F Errica, F Alesiani The Journal of Chemical Physics 159 (23), 2023	4	2023
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 12 (1), 177-189, 2023	4	2023
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	4	2021
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data F Errica Neural Information Processing Systems (NeurIPS 2023), 2023	3	2023
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	3	2023

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