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. |
| Stats | Min | Max |
| Nodes | 10 | 957 |
| Density | 0.003 | 0.561 |
| Diameter | 2 | 18 |
| 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.
@inproceedings{karateclub,
title = {{Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs}},
author = {Benedek Rozemberczki and Oliver Kiss and Rik Sarkar},
year = {2020},
pages = {3125–3132},
booktitle = {Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM '20)},
organization = {ACM},
}
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