AnDi challenge

The 'AnDi challenge' is a benchmark dataset that contains simulated single particle trajectories used to evaluate the performance of methods for inferring physical properties of anomalous random walks.

Papers using AnDi challenge (1)

Learning physical properties of anomalous random walks using graph neural networks2021