HGRP: Heterogeneous Graph Neural Network for Routability Prediction
HGRP models the cells, nets, and routing grids as distinct types of nodes and explicitly represents topological connectivity, spatial mapping, and grid adjacency, thereby constructing a heterogeneous graph representation that preserves multi-level circuit semantics.
Yu-Le Sheng, Yue Yuan, Shan Shen et al.
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