Scholar
Filippo Guerranti
Google Scholar ID: uekwkvYAAAAJ
Technical University of Munich
machine learning
deep learning on graphs
graph neural networks
graph representation learning
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Citations & Impact
All-time
Citations
64
H-index
3
i10-index
2
Publications
6
Co-authors
6
list available
Contact
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Publications
3 items
Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow
2025
Cited
0
Long-Range Graph Wavelet Networks
2025
Cited
0
SAFT: Structure-Aware Fine-Tuning of LLMs for AMR-to-Text Generation
2025
Cited
0
Resume (English only)
Research Experience
Conducting research at TUM in the field of machine learning, including graph neural networks and generative models.
Education
PhD researcher at TUM, specializing in machine learning for graphs and structured data.
Background
PhD researcher in machine learning, focusing on machine learning for graphs and structured data.
Miscellany
Interested in endurance sports, science-based approaches to personal development, and the balance between mental and physical well-being.
Co-authors
6 total
Stephan Günnemann
Professor of Computer Science, Technical University of Munich
Simon Geisler
Google Research
Rafiq Kamel
Master's Student, TUM
Fabian J Theis
Helmholtz Munich, Technical University of Munich
Alessandro Palma
Helmholtz München
Kristiyan Sakalyan
Student, Technical University of Munich
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