activity
20242026
most citedIdentifying Key Nodes for the Influence Spread using a Machine Learning Approach

9 citations · 9 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2026

Graph Data Augmentation via Contrastive Generator Inversion ()

Mateusz Stolarski, Michał Czuba, Łukasz Kraiński +4

Graphs provide a natural representation of many complex systems, ranging from social platforms to ecosystems. However, the development of graph-based machine learning methods is of…

cs.LG2026

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…