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Github Stargazers

Dataset information

The social networks of developers who starred popular machine learning and web development repositories (with at least 10 stars) until 2019 August. Nodes are users and links are follower relationships. The task is to decide whether a social network belongs to web or machine learning developers. We only included the largest component (at least with 10 users) of graphs.

Properties
Number of graphs: 12,725
Directed: No.
Node features: No.
Edge features: No.
Graph labels: Yes. Binary-labeled.
Temporal: No.
StatsMinMax
Nodes 10957
Density 0.0030.561
Diameter 218

Possible tasks
Graph classification

Paper: https://arxiv.org/abs/2003.04819
Github Page: https://github.com/benedekrozemberczki/karateclub

Source (citation)

  • B. Rozemberczki, O. Kiss, R. Sarkar: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs 2019.
  •   >@misc{karateclub2020,
        title={An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs},
        author={Benedek Rozemberczki and Oliver Kiss and Rik Sarkar},
        year={2020},
        eprint={2003.04819},
        archivePrefix={arXiv},
        primaryClass={cs.LG}
    }
    
    

    Files

    File Description
    github_stargazers.zipGithub Gtargazers dataset