Moved comparison to the top
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README.md
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README.md
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@ -7,23 +7,33 @@ Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu, [Diffusion Convolutional Recurrent
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## Requirements
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## Requirements
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torch
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* torch
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scipy>=0.19.0
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* scipy>=0.19.0
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numpy>=1.12.1
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* numpy>=1.12.1
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pandas>=0.19.2
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* pandas>=0.19.2
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pyyaml
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* pyyaml
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statsmodels
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* statsmodels
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tensorflow>=1.3.0
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* tensorflow>=1.3.0
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torch
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* torch
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tables
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* tables
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future
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* future
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Dependency can be installed using the following command:
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Dependency can be installed using the following command:
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```bash
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```bash
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pip install -r requirements.txt
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pip install -r requirements.txt
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```
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```
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### Comparison with Tensorflow implementation
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In MAE (For LA dataset, PEMS-BAY coming in a while)
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| Horizon | Tensorflow | Pytorch |
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|:--------|:--------:|:--------:|
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| 1 Hour | 3.69 | 3.12 |
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| 30 Min | 3.15 | 2.82 |
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| 15 Min | 2.77 | 2.56 |
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## Data Preparation
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## Data Preparation
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The traffic data files for Los Angeles (METR-LA) and the Bay Area (PEMS-BAY), i.e., `metr-la.h5` and `pems-bay.h5`, are available at [Google Drive](https://drive.google.com/open?id=10FOTa6HXPqX8Pf5WRoRwcFnW9BrNZEIX) or [Baidu Yun](https://pan.baidu.com/s/14Yy9isAIZYdU__OYEQGa_g), and should be
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The traffic data files for Los Angeles (METR-LA) and the Bay Area (PEMS-BAY), i.e., `metr-la.h5` and `pems-bay.h5`, are available at [Google Drive](https://drive.google.com/open?id=10FOTa6HXPqX8Pf5WRoRwcFnW9BrNZEIX) or [Baidu Yun](https://pan.baidu.com/s/14Yy9isAIZYdU__OYEQGa_g), and should be
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put into the `data/` folder.
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put into the `data/` folder.
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@ -100,16 +110,6 @@ python -m scripts.eval_baseline_methods --traffic_reading_filename=data/metr-la.
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### Comparison with Tensorflow implementation
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In MAE
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| Horizon | Tensorflow | Pytorch |
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|:--------|:--------:|:--------:|
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| 1 Hour | 3.69 | 3.12 |
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| 30 Min | 3.15 | 2.82 |
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| 15 Min | 2.77 | 2.56 |
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## Citation
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## Citation
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If you find this repository, e.g., the code and the datasets, useful in your research, please cite the following paper:
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If you find this repository, e.g., the code and the datasets, useful in your research, please cite the following paper:
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