3 papers
cs.LG2026
Towards Graph Foundation Models for Dynamics in Complex Networked Systems: Lessons from Super-Spreader Identification in Multilayer Networks
MichaŠCzuba, Mateusz Stolarski, Adam Piróg +2
Network dynamics - including spreading, influence maximisation, and epidemic modelling - remain largely confined to the transductive paradigm, where models are trained on a single…
cs.SI2025
Identifying Super Spreaders in Multilayer Networks
MichaŠCzuba, Mateusz Stolarski, Adam Piróg +2
Identifying super-spreaders can be framed as a subtask of the influence maximisation problem. It seeks to pinpoint agents within a network that, if selected as single diffusion see…
cs.SI2024
Identifying Key Nodes for the Influence Spread using a Machine Learning Approach
Mateusz Stolarski, Adam Piróg, Piotr Bródka
The identification of key nodes in complex networks is an important topic in many network science areas. It is vital to a variety of real-world applications, including viral market…