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cs.AI2023
Adaptive Reconvergence-driven AIG Rewriting via Strategy Learning
Liwei Ni, Zonglin Yang, Jiaxi Zhang +4
Rewriting is a common procedure in logic synthesis aimed at improving the performance, power, and area (PPA) of circuits. The traditional reconvergence-driven And-Inverter Graph (A…
cs.LG2023
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation
Junfeng Liu, Min Zhou, Shuai Ma +1
Graph Edit Distance (GED) is a general and domain-agnostic metric to measure graph similarity, widely used in graph search or retrieving tasks. However, the exact GED computation i…