9 citations · 9 across the 4 of their papers we have counts for
4 papers
Towards Graph Foundation Models for Dynamics in Complex Networked Systems: Lessons from Super-Spreader Identification in Multilayer Networks
Michał Czuba, 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…
Identifying Super Spreaders in Multilayer Networks
Michał Czuba, 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…
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…
Snapshot Spectral Clustering -- a costless approach to deep clustering ensembles generation
Adam Piróg, Halina Kwaśnicka
Despite tremendous advancements in Artificial Intelligence, learning from large sets of data in an unsupervised manner remains a significant challenge. Classical clustering algorit…