298-frigate-frugal-spatio-temporal-forecasting-on-road-networks

https://github.com/szu-advtech-2023/298-frigate-frugal-spatio-temporal-forecasting-on-road-networks

Science Score: 31.0%

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CITATION.cff file
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codemeta.json file
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.zenodo.json file
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DOI references
Found 2 DOI reference(s) in README
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Low similarity (2.2%) to scientific vocabulary

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Repository

Basic Info

Host: GitHub
Owner: SZU-AdvTech-2023
Default Branch: main
Size: 1.3 MB

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Forks: 0
Open Issues: 0
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Created over 2 years ago · Last pushed over 2 years ago

Metadata Files

Citation

https://github.com/SZU-AdvTech-2023/298-Frigate-Frugal-Spatio-Temporal-Forecasting-on-Road-Networks/blob/main/

# Frigate: Frugal Spatio-temporal Forecasting on Road Networks
 [**Frigate: Frugal Spatio-temporal Forecasting on Road Networks**](https://doi.org/10.1145/3580305.3599357)

## 
:  

- Python: 3.9.0
- PyTorch: 1.9.0 (CUDA 11.1)
- PyTorch Geometric: 1.7.2
- Numpy: 1.23.3
- Pandas: 1.5.1
- SciPy: 1.9.1
- NetworkX: 2.2.8
- tensorboardX
- tqdm

## 
 [preprocessed dataset](https://drive.google.com/file/d/1l715iYVktwi8WFs_eOAvoVWS2pPzYiDJ/view?usp=share_link)

data:
```bash
Frigate
 data
    Beijing
    Chengdu
    Harbin
 logs
 model
    __init__.py
    model.py
    tester.py
    trainer.py
 outputs
    models
    predictions
    tensorboard
 run.sh
 run_test.sh
 test.py
 train.py
 utils
     __init__.py
     data_utils.py
     test_data_utils.py
```

## 
 ```run.sh``` 

```run.sh``` GPUGPU 0

```bash
bash run.sh 0
```

## 
 ```run_test.sh``` . 
1. ```dataset```
2. ```seen_path```
3. ```run_num```
4. ```model_name```

```run_num``` ```model_name```run_num

GPU 0

```bash
bash run_test.sh 0
```

MAE```outputs/predictions/run_/pred_true.npz```
```outputs/predictions```

Owner

Name: SZU-AdvTech-2023
Login: SZU-AdvTech-2023
Kind: organization

Repositories: 1
Profile: https://github.com/SZU-AdvTech-2023

Citation (citation.txt)

@article{REPO298,
    author = "Gupta, Mridul and Kodamana, Hariprasad and Ranu, Sayan",
    journal = "arXiv preprint arXiv:2306.08277",
    title = "{FRIGATE: Frugal Spatio-Temporal Forecasting on Road Networks}",
    year = "2023"
}

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