RelBench provides a diverse set of challenging and realistic benchmark relational databases and predictive tasks that are of varying sizes and fields.

RelBench fully automates processing over relational databases. It will download and process databases, provide graph objects that are fully compatible with Pytorch Geometric.

RelBench provides unified dataset splits and evaluators that allow for easy and reliable comparison of different models in a unified manner. RelBench uses leaderboards to keep track of the state-of-the-art.