The data needed for the experiment

Road network data as an important geospatial data is widely used in intelligent transportation, location services and other fields. With the development of social economy, the application of various fields to the quality of road data and the current situation of the higher the requirements Based on the representation ability of graph neural network, this paper proposes a graph matching model. The model starts from geometric features and realizes self-adaptive path through similarity expression of different feature Path matching.