Graph sampling algorithms can be used to reduce the size of large and complex graphs while preserving structural properties. This can help to reduce bias, and ensure privacy, and making graph analysis more scalable. Sampling algorithms are widely used in machine learning, social network analysis, and many other applications.

You can choose between different sampling methods.