Efficient Training of Graph Neural Networks by Decoupling into Multiple Simple Modules

A framework called Stacked Graph Neural Networks (SGNN) is proposed to decouple a multi-layer Graph Neural Network (GNN) into multiple simple GNN modules that can be trained efficiently in parallel using stochastic optimization algorithms.