Graphtester documentation#

Graphtester is a Python package for comprehensive analysis of the theoretical capabilities of GNNs for various datasets, tasks, and scores, using and extension of the Weisfeiler-Lehman framework.

You can read more about the theoretical background in our paper: https://arxiv.org/abs/2306.17482

If you use Graphtester in your research, please cite:

@inproceedings{akbiyik2023graphtester,
   title        = {{Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets}},
   author       = {Eren Akbiyik and Florian Grötschla and Béni Egressy and Roger Wattenhofer},
   year         = 2023,
   month        = {July},
   booktitle    = {{Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023, Honolulu, Hawaii}}
}

Indices and tables#