Abstract: Designing analog circuits poses significant challenges due to their knowledge-intensive nature and the diverse range of requirements. There has been limited success in achieving a fully ...
Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...