###### Abstract  
The Yinchuan-Chongqing high-speed railway (HSR) is one of the \"ten vertical and ten horizontal\" comprehensive transportation channels in the National 13 th Five-Year Plan for Mid- and Long-Term Railway Network. However, the choice of node stations on this line is controversial. In this paper, the problem of high-speed railway station selection is transformed into a classification problem under the edge graph structure in complex networks, and a Scatter-GNN model is proposed to predict stations. The article first uses the Node2 vec algorithm to perform a biased random walk on the railway network to generate the vector representation of each station. Secondly, an adaptive method is proposed, which derives the critical value of edge stations through the pinching rule, and then effectively identifies the edge stations in the high-speed railway network. Next, the calculation method of Hadamard product is used to represent the potential neighbors of edge sites, and then the attention mechanism is used to predict the link between all potential neighbors and their corresponding edge sites. After the link prediction, the final high-speed railway network is obtained, and it is input into the GNN classifier together with the line label to complete the station prediction. Experiments show that Baoji and Hanzhong are more likely to become node stations in this north-south railway trunk line. The Scatter-GNN classifier optimizes the site selection strategy by calculating the connection probabilities between two or more candidate routes and comparing their results. This may reduce manual selection costs and ease geographic evaluation burdens. The model proposed in this paper can be used as an auxiliary strategy for the traditional route planning scheme, which may become a new way of thinking to study such problems in the future. high-speed railway; route planning; site selection; graph neural network; scatter-GNN; link prediction 2  
the flow speed and scale of the entire society, and promoted the rapid development of production. Some studies have shown that high-speed rail transportation has a greater impact on underdeveloped areas and areas far away from regional central cities [7; 8]. Therefore, the development and reform commissions of various cities are actively striving for the entry of high-speed rail, which makes a reasonable station selection strategy in a new line extremely important. In addition, the complexity of the railway network also brings great challenges to traditional line planning and train operation scheduling [9; 10; 11; 12]. This paper takes the Yinchuan-Chongqing high-speed railway (HSR) section as an example, expounds in detail the key significance of this line planning, and proposes a station selection method, which is applicable to the planning of all railway lines. The Yinchuan-Chongqing high-speed railway is a north-south railway line starting from Yinchuan, the capital of Ningxia Autonomous Region, through Wuzhong and Guyuan, Pingliang of Gansu Province, Baoji of Shaanxi Province, Guangyuan, Nanchong of Sichuan Province, and Chongqing. This opens up the longitudinal dead-end road between the northwest and southwest regions, and forms a new trunk line from the Guanzhong-Tianshui Economic Zone to the Chengdu-Chongqing Economic Zone and the Yangtze River Economic Belt, which is conducive to promoting the coordinated economic development of Shaanxi-Gansu-Ningxia old revolutionary areas and Qinba mountainous areas. However, although the Yinchuan-Guyuan-Baoji-Hanzhong-Nachong section has long been expected to invest, the choice of the two parallel lines of Tianshui-Guangyuan and Baoji-Hanzhong is controversial, and has not yet been approved by the Development and Reform Commission.