PaGraph: Scaling GNN training on large graphs via computation-aware caching.
Zhiqi LinCheng LiYoushan MiaoYunxin LiuYinlong XuPublished in: SoCC (2020)
Keyphrases
- training set
- database
- neural network
- graph representation
- training phase
- graph model
- training algorithm
- prefetching
- data sets
- graph theoretic
- training process
- weighted graph
- training examples
- data access
- test set
- online learning
- graph partitioning
- efficient computation
- knn
- query processing
- subgraph isomorphism
- median graph