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