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

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, several systems store data on disk and conduct out-of-core processing. However, these systems suffer from either read amplif...

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Hauptverfasser:	Liu, Renjie, Wang, Yichuan, Yan, Xiao, Cai, Zhenkun, Wang, Minjie, Jiang, Haitian, Tang, Bo, Li, Jinyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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