High Performance Graph Convolutional Networks with Applications in Testability Analysis

Proceedings of the 56th Annual Design Automation Conference 2019, pp. 182019.

Cited by: 8|Views30
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Abstract:

Applications of deep learning to electronic design automation (EDA) have recently begun to emerge, although they have mainly been limited to processing of regular structured data such as images. However, many EDA problems require processing irregular structures, and it can be non-trivial to manually extract important features in such case...More

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