Table 1 Performance comparison across different prediction horizons.

From: MeshHSTGT: hierarchical spatio-temporal fusion for mesh network traffic forecasting

Model

Mesh Data (10 min/30 min/60 min)

MAE

MAPE

RMSE

FNN

154.98/387.25/813.28

0.24/0.25/0.30

296.83/472.83/1025.48

FC-LSTM

172.57/387.25/781.52

0.21/0.20/0.27

248.14/457.19/954.39

GWN

114.38/220.25/513.93

0.16/0.17/0.18

144.58/326.05/625.11

STChebNet

123.49/251.25/584.94

0.17/0.20/0.21

181.34/331.64/647.62

STSGCN

101.14/224.12/529.35

0.14/0.18/0.19

139.05/274.58/561.79

STFGNN

103.56/212.83/537.81

0.14/0.17/0.19

146.67/261.31/542.34

TSGAN

94.71/201.08/420.74

0.11/0.12/0.14

121.41/233.72/493.56

Ours

89.62/193.41/391.17

0.09/0.10/0.10

113.24/235.09/470.25