Table 1 The list of well-know graph datasets, detailing with the categorization perspectives and the target applications they provided.

From: An Open Graph Dataset Organized by Scales

Name

URL

Classification Perspectives

Target Applications

Network Repository*39

https://networkrepository.com/

Data sources, Application domains

â§ą

UCI Network Data repository*40

https://networkdata.ics.uci.edu/

Data sources, Application domains

â§ą

SNAP*41

https://snap.stanford.edu/data/

Data sources, Application domains

Graph algorithmic benchmarks

Network corpus*42

https://github.com/microgravitas/network-corpus

Data sources, Application domains

â§ą

SocioPatterns*43

http://www.sociopatterns.org/datasets/

Data sources, Application domains

â§ą

HIN-Datasets-for-Recommendation-and-Network-Embedding44

https://github.com/librahu/HIN-Datasets-for-Recommendation-and-Network-Embedding

Data sources, Application domains

Network embedding and recommendation

TransportationNetworks21

https://github.com/bstabler/TransportationNetworks

Data sources, Application domains

Traffic assignment

FirstCourse NetworkScience*45

https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience

Data sources, Application domains

â§ą

Graph Layout Benchmark Datasets*22

https://visdunneright.github.io/gd_benchmark_sets/

Data sources, Application domains, Graph types

Layout algorithms benchmark

House of Graphs46

https://houseofgraphs.org

Graph types

Graph theroies analysis

Open Graph Benchmark23

https://ogb.stanford.edu/

Applications domains

Machine learning on graphs

  1. Datasets marked with “*” indicate that some graphs have been processed and integrated into OGDOS.