2 citations · 2 across the 4 of their papers we have counts for
5 papers
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…
Twinning Complex Networked Systems: Data-Driven Calibration of the mABCD Synthetic Graph Generator
Piotr Bródka, Michał Czuba, Bogumił Kamiński +4
The increasing availability of relational data has contributed to a growing reliance on network-based representations of complex systems. Over time, these models have evolved to ca…
Applicability of the Minimal Dominating Set for Influence Maximization in Multilayer Networks
Michał Czuba, Mingshan Jia, Piotr Bródka +1
The minimal dominating set (MDS) is a well-established concept in network controllability and has been successfully applied in various domains, including sensor placement, network…
Network Diffusion -- Framework to Simulate Spreading Processes in Complex Networks
Michał Czuba, Mateusz Nurek, Damian Serwata +5
With the advancement of computational network science, its research scope has significantly expanded beyond static graphs to encompass more complex structures. The introduction of…
A Block-based Generative Model for Attributed Networks Embedding
Xueyan Liu, Bo Yang, Wenzhuo Song +4
Attributed network embedding has attracted plenty of interest in recent years. It aims to learn task-independent, low-dimensional, and continuous vectors for nodes preserving both…