SF-SGL: Solver-Free Spectral Graph Learning From Linear Measurements
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3198513
Abstract: This work introduces a highly scalable spectral graph densification (SGL) framework for learning resistor networks with linear measurements, such as node voltages and currents. We show that the proposed graph learning approach is equivalent to… read more here.
Keywords: solver free; spectral graph; linear measurements; voltage ... See more keywords