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daps's Introduction

Reproduce the experiments

  1. Create a new environment with the following dependencies:
    • Pytorch : 
      pip install torch torchvision torchaudio
    • Pytorch geometric, according to your Pytorch version and CUDA version: 
      pip install pyg-lib torch-scatter torch-sparse torch-cluster torch-spline-conv torch-geometric -f https://data.pyg.org/whl/torch-{pytorch_version}+{cuda_version}.html
    • Seaborn: 
      pip install seaborn
    • Matplotlib: 
      pip install matplotlib
    • Pandas: 
      pip install pandas
    • torch-conformal package, from the root of the repository, run: 
      python setup.py install
  2. Run a Jupyter kernel on the environment
  3. Run the notebooks to reproduce the experiments

daps's People

Contributors

siantonelli avatar

Stargazers

avatar avatar Sonia Horchidan avatar Emir Ceyani avatar Jürgen R. Plasser / ThetaPhiPsi avatar Boshko Koloski avatar do my best avatar khaled avatar avatar avatar valeman avatar

Watchers

James Cloos avatar Soroush H. Zargarbashi avatar Kostas Georgiou avatar avatar

Forkers

valeman tianyu-monica roysh zhangzheng0931

daps's Issues

what is gnn_cp?

I get a bug:ModuleNotFoundError: No module named 'gnn_cp'

Where is make_baselines.py file

Hi! I am trying to reproduce your results, and I run into this AssertionError: Directory to trained models is not found! Maybe first tun the make_baselines.py file when running the notebooks. I can't locate this file in the repository, could you tell me where to find it or what it is? Thank you!

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