Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance.
Jie SunMo SunZheng ZhangJun XieZuocheng ShiZihan YangJie ZhangFei WuZeke WangPublished in: CoRR (2023)
Keyphrases
- training set
- memory requirements
- training phase
- machine learning
- graph theoretic
- graph matching
- test set
- directed graph
- scale space
- graph theory
- training process
- training algorithm
- limited memory
- series parallel
- memory efficient
- neural network
- disk resident
- graph model
- graph mining
- associative memory
- training examples
- computationally efficient
- multiscale