24 citations · 27 across the 5 of their papers we have counts for
5 papers
Learning Graph Filters for Structure-Function Coupling based Hub Node Identification
Meiby Ortiz-Bouza, Duc Vu, Abdullah Karaaslanli +1
Over the past two decades, tools from network science have been leveraged to characterize the organization of both structural and functional networks of the brain. One such measure…
Discriminative community detection for multiplex networks
Meiby Ortiz-Bouza, Selin Aviyente
Multiplex networks have emerged as a promising approach for modeling complex systems, where each layer represents a different mode of interaction among entities of the same type. A…
Learning Optimal Graph Filters for Clustering of Attributed Graphs
Meiby Ortiz-Bouza, Selin Aviyente
Many real-world systems can be represented as graphs where the different entities in the system are presented by nodes and their interactions by edges. An important task in studyin…
Community Detection in Multi-frequency EEG Networks
Abdullah Karaaslanli, Meiby Ortiz-Bouza, Tamanna T. K. Munia +1
Objective: In recent years, the functional connectivity of the human brain has been studied with graph theoretical tools. One such approach is community detection which is fundamen…
Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization
Meiby Ortiz-Bouza, Selin Aviyente
Networks are commonly used to model complex systems. The different entities in the system are represented by nodes of the network and their interactions by edges. In most real life…