Abstract: Machine learning (ML) has the potential to revolutionize electronic design automation (EDA), but mainly lacks the scalable and adequate representation of electric circuits, and requires ...
Abstract: Heterogeneous graph neural networks (HGNs) have attracted more and more attention recently due to their wide applications such as node classification, community detection, and recommendation ...
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