Topology-Aware Deep Reinforcement Learning for VLSI Floorplanning via Graph Attention Feature Fusion
VLSI floorplanning is a critical electronic design automation stage burdened by a vast search space. Traditional heuristics struggle with computational efficiency, while existing machine learning methods often fail to sufficiently capture complex netlist topologies. To address these limitations, we propose a topology-a...