Graph neural networks trained on bipartite graphs of PCB schematics predict expert-chosen locations for added resistors and capacitors with about 85% precision-recall scores.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41(5), 1209–1221 (2021)
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Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics
Graph neural networks trained on bipartite graphs of PCB schematics predict expert-chosen locations for added resistors and capacitors with about 85% precision-recall scores.