kkxiaoqin

URHGN: Explainable building-scale urban renewal prediction using hierarchical graph neural networks. Combines multi-scale spatial modeling with GNNExplainer to reveal how spatial relationships and building attributes drive renewal potential. Achieves 0.855 F1-score on Beijing dataset, supporting tra