Graph-neural-networks Libraries

Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can…

All the functionalities are grouped under a user-friendly API. To ensure proper installation, run unit tests as: Running tests on cpu can take up to 20mn. The output can be then visualized with: If y…

We aim to provide a powerful library for the training of atomistic (or physical point-cloud) machine learning. We want entry-level users to be able to efficiently train models to millions of datapoin…