Twinning complex networked systems: data-driven calibration of the mABCD synthetic graph generator
P Bródka, MJ Czuba, B Kamiński, Ł Kraiński, K Musiał, P Prałat, …
WAW 2026 1–17
2026
Mateusz Stolarski
PhD Student
Research interests
- network science
- graph machine learning
- spreading processes
Research groups
Education
- 2017
B.Eng. in Computer Science
Czestochowa University of Technology
- 2021
MsC in Artificial Intelligence
Wroclaw University of Science and Technology
Publications5
Identifying super spreaders in multilayer networks
M Czuba, M Stolarski, A Piróg, P Bielak, P Bródka, M Stolarski
ECAI 2025
2025
Implementing Network Science to enhance water distribution network pipe roughness calibration
K Dykiert, MK Stolarski, MJ Czuba, W Cieżak, P Bródka
CCWI 2025 1–6
2025
Identifying key nodes for the influence spread using a machine learning approach
MK Stolarski, A Piróg, P Bródka
Entropy 26(11), 1–13 · Cited by 7
2024
Venous insufficiency: differences in the content of trace elements
MK Stolarski, P Pohl, A Rusak, E Karuga-Kuźniewska, B Wiatrak, M Szymonowicz, …
Advances in Clinical and Experimental Medicine 27(5), 695–701
2018