IEEE

A Graph Theory-Based Modeling of Functional Brain Connectivity Based on EEG: A Systematic Review in the Context of Neuroergonomics

Abstract: Graph theory analysis, a mathematical approach, has been applied in brain connectivity studies to explore the organization of network patterns. The computation of graph theory metrics ...
IEEE

Theory and Design of Joint Time-Vertex Nonsubsampled Filter Banks

Abstract: Graph signal processing (GSP) is a field that deals with data residing on irregular domains, i.e. graph signals. In this field, the graph filter bank is one of the most important ...
C&EN

Graph Neural Network Guided Evolutionary Search of Grain Boundaries in 2D Materials

Department of Mechanical and Industrial Engineering, The University of Illinois at Chicago, 842 W. Taylor Street, Chicago, Illinois 60607, United States ...
C&EN

End-to-End Modeling of Reaction Field Energy Using Data-Driven Geometric Graph Neural Networks

Electrostatic interactions are fundamental to the structure, dynamics, and function of biomolecules, with broad applications in protein–ligand binding, enzymatic catalysis, and nucleic acid regulation ...