Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs. (arXiv:2211.16495v1 [cs.LG])

Graph neural networks (GNNs) have pushed the state-of-the-art (SOTA) for
performance in learning and predicting on large-scale data present in social
networks, biology, etc. Since integrated circuits (ICs) can naturally be
represented as graphs, there has been a tremendous surge in employing GNNs for
machine learning (ML)-based methods for various aspects of IC design. Given
this trajectory, there is a timely need to review and discuss some powerful and
versatile GNN approaches for advancing IC design.

In this paper, we …

design ics networks neural networks security tool