52 citations · 584 across the 43 of their papers we have counts for
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cs.LG2022★ 3 cited
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs
Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu
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…
cs.LG2022★ 4 cited
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation
Lilas Alrahis, Johann Knechtel, Florian Klemme +2
Process variations and device aging impose profound challenges for circuit designers. Without a precise understanding of the impact of variations on the delay of circuit paths, gua…