Towards Training and Inference of Graph Neural Networks in Graph Databases

Victor Pekkari, Harry Wik, Alfred Clemedtson +2

Graph Neural Networks on large graphs commonly rely on in-memory graph storage with ad hoc data processing pipelines for both training and inference. Graph databases provide scalab…