DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training

Renjie Liu, Yichuan Wang, Xiao Yan +5

Graph neural networks (GNNs) are machine learning models specialized for graph data and widely used in many applications. To train GNNs on large graphs that exceed CPU memory, seve…