jeongwhanchoi / stg-ncde Goto Github PK
View Code? Open in Web Editor NEW"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
Home Page: https://ojs.aaai.org/index.php/AAAI/article/view/20587
License: MIT License
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
Home Page: https://ojs.aaai.org/index.php/AAAI/article/view/20587
License: MIT License
Hi jeongwhanchoi,
Thanks for your great work!
Can I have the config file you used for all other datasets in your paper? And can you share the dataset PeMSD7(M) and PeMSD7(L) ?
Thanks!
Congratudate for your AAAI 2022 work. It's a nice work, but i met some problem when i use your model as a sota in my experiment. It performed very bad when i try to input 16, 24 or 144 steps in electricity and bikeNYC dataset. Even though i try to adjust some parameters like node_embedd dim, Chenb_k (1,2,3), hidden channel (16 may be the best), loss function (L2 and L1), it stilll does not make. I would like to inform you for some good solutions to solve it. I will appreciate it very much if there are some replies.
Hi, could you please show the code related to irregular data generation? Or, could you describe how you generate the irregular data, please?
Thank you.
Hello, where is your code of STG-NRDE?
I can't search this dataset online. Can you provide it?
Thank you.
Hi, very great work!
Could you please show the code and detailed experimental setting related to irregular data experiments?
Thank you for consideration!
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