SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements

Ying Zhang, Zhiqiang Zhao, Zhuo Feng

This work introduces a highly-scalable spectral graph densification framework (SGL) for learning resistor networks with linear measurements, such as node voltages and currents. We…