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

Figure 8

Metrics in the case of random data missing. (a–c) The results of RMSE, MAE, and MAPE with 10 min time interval, respectively. (d–f) The results of RMSE, MAE, and MAPE with 30 min time interval, respectively. The abscissa represents the missing rate, and the ordinate is the corresponding result.

(a)

(b)

(c)

(d)

(e)

(f)