OpenCheck Embeddings

OpenCheck is currently working to map Twitter handles to ORCID identifiers and capture the follow graph of researchers on Twitter (in case the service becomes unusable in the near future). Data available under CC0 here.

This repository uses GRAPE to embedding the OpenCheck ORCID graph (which is a directed graph) and assign to each ORCID identifier a low-dimensional vector of real numbers that can be used for various tasks such as clustering, classification. These embeddings can be downloaded as a TSV file here and are regenerated nightly using GitHub Actions.

Summary

Running

The code in this repository is completely reproducible. It is wrapped in tox to abstract all installation and commands so the embeddings can be recreated with the following commands:

git clone https://github.com/cthoyt/opencheck-embed.git
cd opencheck-embed
pip install tox
tox

License

Code in this repository is licensed under the MIT license. The embeddings and charts are licensed under CC0.

Citation

If you like GRAPE, please cite:

@misc{cappelletti2021grape,
    title = {GRAPE: fast and scalable Graph Processing and Embedding},
    author = {Luca Cappelletti and Tommaso Fontana and Elena Casiraghi and Vida Ravanmehr and Tiffany J. Callahan and Marcin P. Joachimiak and Christopher J. Mungall and Peter N. Robinson and Justin Reese and Giorgio Valentini},
    year = {2021},
    eprint = {2110.06196},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG}
}