Model Selection of Graph Signage Models Using Maximum Likelihood (Student Abstract)
Keywords:Signed Networks, Gene Regulatory Networks, Maximum-likelihood, Markov Chains, Model Fitting
AbstractComplex systems across various domains can be naturally modeled as signed networks with positive and negative edges. In this work, we design a new class of signage models and show how to select the model parameters that best fit real-world datasets using maximum likelihood.
How to Cite
Brilliantova, A., & Bezáková, I. (2023). Model Selection of Graph Signage Models Using Maximum Likelihood (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16168-16169. https://doi.org/10.1609/aaai.v37i13.26944
AAAI Student Abstract and Poster Program