Federico Errica

Federico Errica

PhD in Computer Science

NEC Laboratories Europe GmbH

About Me

Federico Errica received his PhD in Computer Science from the University of Pisa, supervised by Alessio Micheli and Davide Bacciu. He is now a Research Scientist at NEC Laboratories Europe GmbH. His research interests include deep probabilistic models for graphs, neural networks and hybrid architectures.

Download: CV.

Download: PhD thesis.

Download: PhD defense's slides.

  • Machine Learning for Graphs
  • Probabilistic Modeling
  • Hybrid Architectures
  • PhD in Computer Science, 2018-2022

    University of Pisa

  • MSc in Computer Science, 2015-2018

    University of Pisa

  • BSc in Computer Science, 2012-2015

    University of Pisa


Research Scientist
NEC Laboratories Europe GmbH
Jan 2022 – Present Heidelberg, DE
Visiting Researcher
University College London
Jan 2021 – May 2021 London, UK
Worked on an empirical study of neural link predictors for node classification.
Research Intern
Facebook AI Research
Jun 2019 – Sep 2019 London, UK
Worked on a low-resource classificator for text.
Machine Learning Researcher
Laife Reply
Mar 2018 – Sep 2018 Milan, Italy
Worked on breast cancer detection.


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(2022). Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark. In Frontiers in Artificial Intelligence.

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(2021). Robust Malware Classification via Deep Graph Networks on Call Graph Topologies. ESANN-2021.

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(2021). Concept Matching for Low-Resource Classification. IJCNN-2021.

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(2021). Modeling Edge Features with Deep Bayesian Graph Networks. IJCNN-2021.

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(2020). Theoretically Expressive and Edge-aware Graph Learning. ESANN-2020.

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