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Technical University of Munich

Filippo Guerranti

Technical University of Munich
Department of Informatics - I26
Boltzmannstr. 3
85748 Garching b. München
Germany

Room: 00.11.064
Tel: +49 (0) 89 289 17080
E-Mail: f.guerranti [at] tum.de | f.guerranti [at] cit.tum.de

Web: filippoguerranti.com
GitHub: guerrantif
Twitter: guerrantif

Research interests

  • Machine learning on graphs and structured data
  • Encoding graphs for LLMs
  • Graph ML in science (e.g., biology)

Open Positions

Please apply through our internal form in case you are interested in working with me on anything related to my research interests or specifically on these open positions:

Publications

  • Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow
    Kristiyan Sakalayan*, Alessandro Palma, Filippo Guerranti*, Fabian Theis, Stephan Günnemann
    Neural Information Processing Systems (NeurIPS), 2025
  • TreeGen: A Bayesian Generative Model for Hierarchies with Application to Jet Clustering
    Marcel Kollovieh, Nils Fleischmann, Filippo Guerranti, Bertrand Charpentier, Stephan Günnemann
    Neural Information Processing Systems (NeurIPS), 2025
  • Long-Range Graph Wavelet Networks
    Filippo Guerranti, Fabrizio Forte, Simon Geisler, Stephan Günnemann
    Preprint (arXiv), 2025
  • SAFT: Structure-Aware Fine-Tuning of LLMs for AMR-to-Text Generation
    Rafiq Kamel*, Filippo Guerranti*, Simon Geisler, Stephan Günnemann
    Structured Knowledge for LLMs (SKnowLLM) Workshop at KDD, 2025
  • On the Adversarial Robustness of Graph Contrastive Learning Methods
    Filippo Guerranti, Zinuo Yi, Anna Starovoit, Rafiq Kamel, Simon Geisler, Stephan Günnemann
    New Frontiers in Graph Learning (GLFrontiers) Workshop at NeurIPS, 2023

You can find a complete list on my Google Scholar profile.

Background

  • 2022 - Present: Ph.D. Student in Computer Science, Technical University of Munich (Germany)
  • 2019 - 2022: M.Sc. in Computer and Automation Engineering, University of Siena (Italy), awarded with high distinction
  • 2015 - 2019: B.Sc. in Computer and Information Engineering, University of Siena (Italy)

Research background

  • 2022: Master's thesis: Approximating Logical Reasoning using Neural Networks

Academic Honors and Awards

  • 2022: Best Student Award, Master's degree in Computer and Automation Engineering, University of Siena (Italy)
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