chnsh / DCRNN_PyTorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
MIT License
454 stars 114 forks source link

How where the figures generated? #20

Closed ThomasAFink closed 1 year ago

ThomasAFink commented 2 years ago

I was wondering how you reversed the DCRNN normalization in METRLADatasetLoader to plot the speed on the y-axis in your figures: https://github.com/chnsh/DCRNN_PyTorch/blob/d92490b808ba5c5be2f23d427d96e9a56b066d7f/README.md#pytorch-results

I'm using the the following Pytorch notebook: https://colab.research.google.com/drive/132hNQ0voOtTVk3I4scbD3lgmPTQub0KR?usp=sharing#scrollTo=EzrkqXPxFwIx

Your chart:

Screenshot 2022-05-18 at 23 58 31

The one in the notebook where I want the y-axis to be like yours: metra-la

ThomasAFink commented 2 years ago

Found another example: https://stellargraph.readthedocs.io/en/stable/demos/time-series/gcn-lstm-time-series.html Notebook: https://colab.research.google.com/github/stellargraph/stellargraph/blob/develop/demos/time-series/gcn-lstm-time-series.ipynb