The manuscript showed predictions based on DC-DC converter topologies control signal and component values. By representing converter circuits as graphs and applying GNNs, the regression model was able to fit a neural network driven model and predict circuit performance information as well as identify the type of circuit. This approach presents a very promising step towards synthesizing and optimally designing power converter circuits.
