Dataset of synthetic modular graphs from LFR and ABCD benchmark models for community detection

This dataset contains randomly generated networks (random graphs) from a study on community detection. In total there are 50 network files. This includes 30 ABCD graphs and 20 LFR graphs as described in the article linked below. Each network is provided in .gml format.
This dataset is provided under a CC BY-NC-SA Creative Commons v 4.0 license (Attribution-NonCommercial-ShareAlike). This means that other individuals may remix, tweak, and build upon these data non-commercially, as long as they provide citations to this data repository (https://doi.org/10.6084/m9.figshare.24257293), the reference article listed below, and license the new creations under the identical terms.
For more information about the data, one may refer to the articles below:
Samin Aref and Mahdi Mostajabdaveh "Analyzing Modularity Maximization in Approximation, Heuristic, and Graph Neural Network Algorithms for Community Detection" Journal of Computational Science 2024.