G2A2 is an automated graph generator with attributes and anomalies. It is a highly accurate, flexible, and scalable graph generator that can generate graphs with ground truth.
This repository contains code for G2A2 and a realistic graph library containing G2A2-generated social media graphs, article graphs, and Internet traffic graphs. The library encompasses graphs with varying anomaly percentages, as well as different numbers of nodes and edges, providing researchers with a tool for benchmarking various algorithms.
Domain | #nodes (U) | #nodes (V) | #edges | anomaly% | Features | Duration (hrs) | Link |
---|---|---|---|---|---|---|---|
G2A2-Social Media | 100000 | 10000 | 1000000 | 1 | 172 | 744 | Download |
G2A2-Social Media | 100000 | 10000 | 1000000 | 5 | 172 | 744 | Download |
G2A2-Social Media | 100000 | 10000 | 1000000 | 10 | 172 | 744 | Download |
G2A2-Computer Networks | 100000 | 10000 | 1000000 | 1 | 19 | 144 | Download |
G2A2-Computer Networks | 100000 | 10000 | 1000000 | 5 | 19 | 144 | Download |
G2A2-Computer Networks | 100000 | 10000 | 1000000 | 10 | 19 | 144 | Download |
If you use this code, please cite our Computing Frontiers (CF'24) paper:
@inproceedings{10.1145/3649153.3649206,
author = {Dey, Saikat and Jha, Sonal and Feng, Wu-chun},
title = {G2A2: Graph Generator with Attributes and Anomalies},
year = {2024},
isbn = {9798400705977},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3649153.3649206},
doi = {10.1145/3649153.3649206},
booktitle = {Proceedings of the 21st ACM International Conference on Computing Frontiers},
pages = {3–11},
numpages = {9},
keywords = {Graph generation, bipartite graphs, dynamic graphs, ground truth},
location = {Ischia, Italy},
series = {CF '24}
}
© Virginia Polytechnic Institute and State University, 2023.
Please refer to the included LICENSE file.