Paper MLRC22 | Kaggle Notebook
Reproducing results from the SubgraphX paper including a full re-implementation of the SubgraphX algorithm in PyTorch-Geometric.
The author's implementation can be found here.
For our experiments we use parts of the DIG library which restricts compatibility. Therefore, we recommend the following installation process:
conda env create -f environment.yml
conda activate subgraphx
To run the scripts from the project's root directory, make its path available to python:
export PYTHONPATH=.