Conferences

1. Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation. Matteo Lissandrini, Martin Brugnara, and Yannis Velegrakis. Proceedings of the Conference on Very Large Databases (PVLDB), 2018. PDF
   Datasets & Code
   pVLDB Reproducibility
2. Distributed k-core decomposition and maintenance in large dynamic graphs. Sabeur Aridhi, Martin Brugnara, Yannis Velegrakis, and Alberto Montresor. In Proc. of the 10th ACM International Conference on Distributed and Event-Based Systems, DEBS’16. ACM, Irvine, CA, June 2016. PDF
   Datasets & Code

Journals

1. A new Markov–Dubins hybrid solver with learned decision trees Cristian Consonni, Martin Brugnara, Paolo Bevilacqua, Anna Tagliaferri, and Marco Frego Engineering Applications of Artificial Intelligence 122 (2023) 106166. PDF

Technical Reports

1. An Evaluation Methodology and Experimental Comparison of Graph Databases. Matteo Lissandrini, Martin Brugnara, Yannis Velegrakis. DISI Technical Reports - DISI-17-006 — April 30th, 2017. PDF

Theses

1. Understanding and Managing Complex Datasets. Advisor: Yannis Velegrakis. PhD thesis University of Trento, Italy, April 2022.
2. Automatic analytics and understanding of big datasets for Smart Cities. Advisor: Yannis Velegrakis. MSc thesis University of Trento, Italy, October 2017.
3. DIP: a dataset and process management system for big data. Advisor: Yannis Velegrakis. BSc thesis University of Trento, Italy, March 2015.

• 2022: now - Oracle Labs Zurich, CH.
• 2013:2022 - Data Management Group (dbTrento) at University of Trento, IT.