arxivcs.LGcs.AI2026-06-26
Learning Structural Manipulability in Gate-Level Netlists Using Graph Neural Networks
Rupesh Raj Karn, Ozgur Sinanoglu
Gate-level netlists exhibit intrinsic structural properties that influence signal propagation independently of functional simulation. We define a topology-driven structural manipulability score that characterizes node-level structural flexibility using path participation, k-core…