Can Graph Learning Learn Circuits?
Graph Circuit Learning is introduced, a supervised, amortized framework that trains a GNN across multiple model--task pairs and applies it to unseen cases and preliminary results suggest that graph machine learning offers a natural and potentially powerful perspective on circuit localization.
Chester Tan, Moritz Lampert, Courtney Maynard et al.
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