Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]
Antonio G. Marqués, Negar Kiyavash, José M. F. Moura, Dimitri Van De Ville, Rebecca Willett
Abstract
The articles in this special section focus on graph signal processing. Generically, the networks that sustain our societies can be understood as complex systems formed by multiple nodes, where global network behavior arises from local interactions between connected nodes. More succinctly, a network or a graph can be defined as a structure that encodes relationships between pairs of elements of a set. The simplicity of this definition drives the application of graphs and networks to a wide variety of disciplines, such as biology, medicine, psychology, sociology, economics, engineering, computer science, and so on.
Topics & Concepts
Computer scienceTheoretical computer scienceNetwork scienceGraphSpecial sectionSignal processingVariety (cybernetics)Graph theoryBiological networkData scienceComplex networkCognitive scienceArtificial intelligenceMathematicsTelecommunicationsWorld Wide WebEngineeringEngineering physicsPsychologyCombinatoricsRadarAdvanced Graph Neural NetworksComplex Network Analysis TechniquesGraph Theory and Algorithms