environment.yml

name: pmlrgraphs20
channels:
  - pytorch
  - conda-forge
  - defaults
dependencies:
  # Created by running the following commands on Linux, macOS and Windows, then taking the common subset of dependencies.
  # conda create -n ntds_2019 python=3.7 jupyterlab git numpy scipy matplotlib-base pandas networkx pygsp scikit-learn pytorch cpuonly dgl requests -c dglteam -c pytorch -c conda-forge -c defaults --override-channels
  # conda env export --no-builds -n ntds_2019 > environment_linux.yml
  - pip
  - pandas
  - matplotlib 
  - scikit-learn
  - spyder
  - pytest
  - jupyter
  - networkx
  - pytorch 
  - torchvision
  #- cudatoolkit=10.1
  - cpuonly # replace cpuonly with your cuda version for GPU support
  - future
  - pillow
  - tensorboard
  - seaborn
  - pip: 
    - h5py
    - torch-cluster
    - torch-geometric
    - torch-scatter
    - torch-sparse
    - torch-spline-conv