Towards Graph-Based Deep Learning for Map Generalization: Insights from Building Footprints Simplification and Aggregation (opens in new tab)

Map generalization remains one of the fundamental tasks in cartography, especially for the simplification and aggregation of complex building footprints. This study presents the first exploratory application of graph-based deep learning to both tasks, reformulating simplification as node movement prediction and aggregation as link prediction within a unified graph learning framework. We evaluate representative graph neural network architectures ...