Laurent Bindschaedler

Everything You Wanted to Know About Graph Neural Network Partitioning (But Were Afraid to Ask)

2025

Graph Neural Networks (GNNs) are the de facto models for deep learning on graph datasets, but training GNNs on large-scale datasets remains a challenge. Data partitioning plays a critical role in distributed mini-batch GNN training, …