Network Repository

This comprehensive and diverse collection of network graph data is essential for research discoveries and serves as a reference for a wide range of applications and domains, such as network science, bioinformatics, machine learning, data mining, physics, and social sciences. It includes relational, attributed, heterogeneous, flow, spatial, and temporal series network data, as well as non-relational datasets for machine learning.