The data needed for the experiment

Road network selection is a key focus in the field of cartographic generalization. With the rapid updating of road data, there are higher requirements for the quality and intelligence of road selection. Based on the knowledge graph composition method, this article combines graph neural networks to achieve automatic selection of road networks.道路网选取是制图综合领域的关键研究热点。伴随道路数据的快速迭代更新，行业对道路选取的质量保障与智能化程度提出了更高标准。本文依托知识图谱构建方法，结合图神经网络（Graph Neural Networks）实现了道路网的自动化选取。