WholeGraph Storage: Optimizing Memory and Retrieval for Graph Neural Networks

Originally published at: https://developer.nvidia.com/blog/wholegraph-storage-optimizing-memory-and-retrieval-for-graph-neural-networks/

Graph neural networks (GNNs) have revolutionized machine learning for graph-structured data. Unlike traditional neural networks, GNNs are good at capturing intricate relationships in graphs, powering applications from social networks to chemistry. They shine particularly in scenarios like node classification, where they predict labels for graph nodes, and link prediction, where they determine the presence of…