Graph deep learning models, which incorporate a natural inductive bias for atomic structures, are of immense interest in materials science and chemistry. Here, we introduce the Materials Graph Library ...

Graph embedding is a technique that aims to represent nodes as low-dimensional vectors, capturing their graph position and the underlying structure of their local graph neighborhood 1. It is a type of ...