An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training

Nikolai Merkel, Daniel Stoll, Ruben Mayer +1

Recently, graph neural networks (GNNs) have gained much attention as a growing area of deep learning capable of learning on graph-structured data. However, the computational and me…