A method for transforming analog and digital circuits into graph networks for the use of graph neural networks (GNN).
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Updated
May 9, 2025 - Python
A method for transforming analog and digital circuits into graph networks for the use of graph neural networks (GNN).
This project proposes sparse billboard and T-shaped arrays. This project also derives closed-form expressions for the sensor locations and the number of consecutive lags or the uniform degrees of freedom (uDOF), in the fourth-order difference coarray (FODC).
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