Supplementary materials for _Evaluating Attribution for Graph Neural Networks_

Requirements can be installed with:

```bash
$ conda env create -f environment.yml -n graph_attribution
```

This directory contains two notebooks:

-   train_and_evaluate.ipynb: for training a GNN on a predictive task
    and calculating and evaluating attributions on a attribution task. Uses molecular graphs.
-   attribution_plot.ipynb: for regenerating plots in the paper with csv files
    containing summaries of the runs.

To run either notebook use the following command:

```bash
$ conda activate graph_attribution
$ jupyter notebook *.ipynb
```

