Skip to content

hungvtm/link_prediction_coauthorship

Repository files navigation

How to run

  1. Run pip install -r requirements.txt to install the dependencies.
  2. Run 'streamlit run webapp.py' to run the webapp.

About the project

  • When search a author name in the webapp, will map to the author id.
  • Use GraphSage model to get link prediction of the author with other authors, which is not in previous dataset.
  • Use the link prediction result to get the author's co-author score. Get 10 co-authors with the highest score.
  • Show the co-authors network graph.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published