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Novel out-of-core mechanism introduced for large-scale graph neural network training
Graph neural networks (GNNs) have demonstrated strengths in areas such as recommendation systems, natural language processing, computational chemistry, and bioinformatics. Popular training frameworks ...
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USTC proposes a novel out-of-core large-scale graph neural network training system
On February 11, the team from the Data Darkness Lab (DDL) at the Medical Imaging Intelligence and Robotics Research Center of ...