DarkFarseer Artifact

This repository is the official Pytorch implementation of "DarkFarseer: Robust Spatio-temporal Kriging under Graph Sparsity and Noise".

Instructions

├── checkpoints  // Model cache
│   ├── AIR36
│   ├── ...
├── experiments  // Experiment file
│   └── train_kriging.py
│   ├── ...
├── networks  // Model file
│   ├── Kriging_model.py  
│   └── layers 
├── preprocessing  // Data preprocessing
│   ├── process_AIR36.py
│   ├── ...
└── utils  // Utility file
    ├── utils.py
    └── ...

Environment Setup

$ conda create -n darkfarseer python=3.10.9
$ conda activate darkfarseer
$ pip install -r requirements.txt

Dataset Preparation

Download datasets.zip from

https://drive.google.com/file/d/1I7Vh625dpbtjOYuDI1JkO2rnKvIN5fes/view?usp=drive_link

Then run:

$ unzip datasets.zip

Run Darkfarseer

$ python -m experiments.train_kriging

Acknowledgements

Our code is built on top of the following codebase:

• Kaimaoge/IGNNK
• VAN-QIAN/CIKM23-HIEST