Graph neural networks in astrophysics

Many physical phenomena exhibit relational inductive biases and can be represented as mathematical graphs. In recent years, graph neural networks (GNNs) have been successfully used to model and learn from astronomical data. This post provides an introductory review to GNNs for astrophysics.