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Ankit Ramakrishnan

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Preprint Aug 2026

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. · 0 citations