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FLEXIBLE EDGE-EMPOWERED GRAPH CONVOLUTIONAL NETWORKS WITH NODE-EDGE ENHANCEMENT

机译:灵活的Edge-Empowered图表卷积网络,具有节点边缘增强

摘要

Systems and methods for predicting road conditions and traffic volume is provided. The method includes generating a graph of one or more road regions including a plurality of road intersections and a plurality of road segments, wherein the road intersections are represented as nodes and the road segments are represented as edges. The method can also include embedding the nodes from the graph into a node space, translating the edges of the graph into nodes of a line graph, and embedding the nodes of the line graph into the node space. The method can also include aligning the nodes from the line graph with the nodes from the graph, and optimizing the alignment, outputting a set of node and edge representations that predicts the traffic flow for each of the road segments and road intersections based on the optimized alignment of the nodes.
机译:提供了用于预测道路状况和交通量的系统和方法。该方法包括生成包括多个道路交叉点和多个道路段的一个或多个道路区域的曲线图,其中所述道路交叉点表示为节点,并且道路段表示为边缘。该方法还可以包括将节点从图形嵌入到节点空间中,将图形的边沿转换为线图的节点,并将线图的节点嵌入到节点空间中。该方法还可以包括将节点与来自曲线图的节点对齐,并优化对准,输出一组节点和边缘表示,该节点和边缘表示基于优化地预测每个道路段和道路交叉口的业务流量节点对齐。

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