GraphZero: Beating PyTorch OOMs with a C++ Engine
Anyone working with Graph Neural Networks (GNNs) on substantial datasets likely knows a particular kind of frustration: the dreaded Out-Of-Memory (OOM) error. It’s a common and costly roadblock for machine learning practitioners.
Imagine attempting to train a GNN on a massive dataset, perhaps something like Papers100M. The process often
