Rethinking Efficiency and Redundancy in Training Large-scale Graphs.
Xin LiuXunbin XiongMingyu YanRunzhen XueShirui PanXiaochun YeDongrui FanPublished in: CoRR (2022)
Keyphrases
- small scale
- online learning
- computational complexity
- real life
- training process
- real world
- supervised learning
- high efficiency
- computational efficiency
- graph databases
- training phase
- training set
- graph partitioning
- graph model
- graph representation
- graph theoretic
- test set
- graph matching
- shortest path
- training samples
- pairwise
- e learning
- feature selection