DVGCRN
code for ICML2022
This code run on Pytorch, Python 3;
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Run data_preprocess_1st for processing data;
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Run data_preprocess_2st, getting preprocessed data;
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Run trainer for training model;
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Run tester, evaluating trained model.
machine-1-1: 0.004/0.998
machine-1-2: 0.004/0.970
machine-1-3: 0.008/0.919
machine-1-4: 0.01/0.954
machine-1-5: 0.001/0.886
machine-1-6: 0.003/0.983
machine-1-7: 0.001/0.975
machine-1-8: 0.001/0.952
machine-2-1: 0.003/0.920
machine-2-2: 0.008/0.996
machine-2-3: 0.006/0.959
machine-2-4: 0.008/0.986
machine-2-5: 0.008/0.980
machine-2-6: 0.0009/0.754
machine-2-7: 0.002/0.951
machine-2-8: 0.002/0.999
machine-2-9: 0.0006/0.961
machine-3-1: 0.0008/0.963
machine-3-2: 0.004/0.963
machine-3-3: 0.005/0.911
machine-3-4: 0.001/0.987
machine-3-5: 0.004/0.980
machine-3-6: 0.009/0.857
machine-3-7: 0.001/0.998
machine-3-8: 0.006/0.616
machine-3-9: 0.0008/0.847
machine-3-10: 0.006/0.496
machine-3-11: 0.0006/0.985