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[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
Home Page: https://dl.acm.org/doi/10.1145/3583780.3614871
License: Apache License 2.0
I hope you have a good day.
You did a good job in STExplainer and we are trying to follow your work. However, I'm facing two problems:
I'm looking forward to hearing from you.
Best regards
The methods/STExplainer/pytorch_net folder is missing files, can you add them? Thank you!
Hello, very great works!
Could you provide more details and codes for how to conduct data missing robustness experiments?
Thank you for consideration!
Now we can only reproduce the experiment of PEMS4 data set, how to analyze the crime data?
If convenient, could you tell me how to obtain the raw data (NYC, CHI) and conduct the experiment using your method.
In addition, whether your project must run in Ubuntu environment. It is difficult to configure dependency packages in Windows 10.
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