Welcome

News

  • 05.05.2023: Thanks to Julius Kunze from UCL a couple of bugs where fixed, e.g., representing the ZINC datasets as undirected graphs and correcting some graph statistics. Thanks Julius!
  • 28.10.2020: Added eight new datasets from [36].
  • 30.03.2020: Added three new datasets from [31]. Thanks Xavier!
  • 24.03.2020: Added four new datasets from [30]. Thanks Benedek!
  • 02.03.2020: Added three new datasets from [29].
  • 14.01.2020: Added twenty-four new datasets from [24].
  • 28.08.2019: Added twenty-two new datasets from [28].
  • 09.07.2019: Added two new datasets from [27].
  • 23.10.2018: Added five new datasets from [26].
  • 13.02.2018: Added Cuneiform dataset from [25].
  • 11.05.2017: Added twelve new datasets from [24].
  • 17.06.2016: Added Synthie dataset from [21].
  • 10.05.2016: Added eight new datasets from [16].
  • 19.04.2016: Added FRANKENSTEIN dataset from [15].
  • 13.04.2016: Added SYNTHETICnew dataset from [3,10].
  • 08.04.2016: Added six new datasets from [14].

Citing this Website

If you have used the datasets for your publication, please refer to graphlearning.io and cite the TUDataset paper:

@inproceedings{Morris+2020,
    title={TUDataset: A collection of benchmark datasets for learning with graphs},
    author={Christopher Morris and Nils M. Kriege and Franka Bause and Kristian Kersting and Petra Mutzel and Marion Neumann},
    booktitle={ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+ 2020)},
    archivePrefix={arXiv},
    eprint={2007.08663},
    url={www.graphlearning.io},
    year={2020}
}

Please do not forget to cite the original paper when using a specific dataset.