A Higher-Order Motif-Based Spatiotemporal Graph Imputation Approach for Transportation Networks

Figure 2

Framework of the MGIA. The bottom of figure indicates the data input, includes the higher-order spatial structure and time series data. The upper of figure indicates the specific method of the MGIA, the left module represents the spatial imputation of motif-based graph aggregation, the right module represents the multiple dimension imputation based on Bi-LSTM, and these two modules are integrated to obtain results.