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STQCL

Run the basic point output by runing:

python -u point.py -model stgcn_point -data pems08 -note stgcn_point_pems08 -loss masked_mse -version 0 -cuda 0 >> stgcn_point_pems08_version0.log  2>&1

Run Our modified quantile output by runing:

python -u qmain2.py -model stgcn3 -data pems08 -note stgcn_quantile_pems08 -loss quantile -version 0 -cuda 0 >> stgcn_quantile_pems08_version0.log  2>&1

Run Our STQCL by runing:

python -u qmain_stacking.py -model stgcn3 -scl -qcl -tcl -wait_iter 1000 -scl_size 300 -scl_length 10 -tcl_size 300 -qcl_size 300 -data pems08 -note stgcn_stacking_pems08 -loss quantile -version 0 -cuda 0 >> stgcn_stacking_pems08_version0.log  2>&1

The external experiments are as follow:

Dataset Metric STGCN STGCN+ STQCL STAEF STAEF+ STQCL
Horizon 3 6 12 3 6 12 3 6 12 3 6 12
Point RMSE 25.973 28.477 31.906 25.837 27.948 28.861 23.502 25.803 28.861 23.141 25.511 28.529
MAE 14.839 16.146 18.429 14.623 15.915 18.069 14.327 15.510 17.287 14.028 15.241 16.973
PEMS03 MAPE 15.468 16.437 18.687 14.817 15.997 18.436 14.812 15.722 17.105 14.346 15.412 16.975
Quantile Q10 3.450 3.805 4.427 3.393 3.762 4.399 3.443 3.912 4.566 3.381 3.844 4.475
Q50 7.420 8.073 9.215 7.311 7.958 9.035 7.164 7.755 8.644 7.014 7.621 8.486
Q90 3.657 4.048 4.763 3.547 3.918 4.512 3.335 3.661 4.098 3.262 3.582 4.026
Point RMSE 33.334 36.538 41.745 32.400 35.366 40.057 30.984 33.837 37.618 30.349 33.178 36.735
MAE 21.203 23.239 26.715 20.472 22.257 25.377 18.731 20.091 22.199 18.042 19.401 21.271
PEMS07 MAPE 9.214 10.215 11.815 8.987 9.695 11.202 8.665 10.638 12.873 8.249 10.086 12.095
Quantile Q10 5.068 5.607 6.476 4.923 5.397 6.194 7.921 8.472 9.513 7.579 8.110 8.951
Q50 10.602 11.619 13.358 10.236 11.129 12.688 9.366 10.046 11.099 9.021 9.701 10.636
Q90 5.149 5.635 6.656 4.838 5.319 6.180 4.365 4.712 5.274 4.179 4.524 5.025
Point RMSE 23.978 26.366 30.449 23.490 25.761 29.197 22.371 24.360 27.025 21.696 23.748 26.193
MAE 15.616 16.997 19.725 15.182 16.457 18.806 13.577 14.415 15.927 12.933 13.864 15.230
PEMS08 MAPE 10.015 10.957 12.614 9.810 10.574 12.138 8.665 10.638 12.873 8.249 10.086 12.095
Quantile Q10 3.667 4.026 4.591 3.576 3.894 4.412 3.221 3.465 3.894 3.072 3.368 3.776
Q50 7.808 8.499 9.862 7.591 8.228 9.403 6.788 7.207 7.964 6.467 6.932 7.615
Q90 3.695 4.086 4.964 3.571 3.959 4.706 3.190 3.452 3.907 3.021 3.282 3.661
Point RMSE 2.862 3.830 4.694 2.800 3.749 4.549 2.788 3.652 4.318 2.736 3.595 4.237
MAE 1.399 1.747 2.118 1.359 1.703 2.053 1.324 1.624 1.906 1.293 1.588 1.861
PEMSBAY MAPE 3.013 3.978 5.034 2.922 3.899 4.947 2.839 3.691 4.510 2.756 3.595 4.382
Quantile Q10 0.380 0.487 0.618 0.369 0.475 0.600 0.930 1.113 1.367 0.878 1.045 1.257
Q50 0.700 0.873 1.059 0.679 0.851 1.027 0.662 0.812 0.953 0.647 0.794 0.931
Q90 0.301 0.364 0.431 0.291 0.354 0.418 0.282 0.338 0.391 0.276 0.333 0.386

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