Novel out-of-core mechanism introduced for large-scale graph neural network training

A research study group has actually presented a brand-new out-of-core system, Pill, for massive GNN training, which can attain as much as a 12.02 × enhancement in runtime effectiveness, while utilizing just 22.24% of the primary memory, contrasted to SOTA out-of-core GNN systems. This job was released in the Procedures of the ACM on Monitoring of Data.The group consisted of the Information Darkness Laboratory (DDL) at the Clinical Imaging Knowledge and Robotics Proving Ground of the College of Scientific Research and Modern Technology of China (USTC) Suzhou Institute.

发布者:Dr.Durant,转转请注明出处:https://robotalks.cn/novel-out-of-core-mechanism-introduced-for-large-scale-graph-neural-network-training-2/

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