1 citations · 1 across the 3 of their papers we have counts for
3 papers
A new adaptive two-layer model for opinion spread in hypergraphs: parameter sensitivity and estimation
Ágnes Backhausz, Villő Csiszár, Balázs Csegő Kolok +2
When opinion spread is studied, peer pressure is often modeled by interactions of more than two individuals (higher-order interactions). In our work, we introduce a two-layer rando…
Parameter estimation of epidemic spread in two-layer random graphs by classical and machine learning methods
Ágnes Backhausz, Edit Bognár, Villő Csiszár +2
Our main goal in this paper is to quantitatively compare the performance of classical methods to XGBoost and convolutional neural networks in a parameter estimation problem for epi…
Testing goodness-of-fit of random graph models
Villö Csiszár, Péter Hussami, János Komlós +3
Random graphs are matrices with independent 0, 1 elements with probabilities determined by a small number of parameters. One of the oldest model is the Rasch model where the odds a…