A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.
Keyu DuanZirui LiuPeihao WangWenqing ZhengKaixiong ZhouTianlong ChenXia HuZhangyang WangPublished in: CoRR (2022)
Keyphrases
- graph representation
- random walk
- massive graphs
- graph model
- supervised learning
- bipartite graph
- training phase
- real life
- neural network
- online learning
- graph theoretic
- real world
- training algorithm
- graph structure
- graph theory
- data sets
- connected components
- weighted graph
- training process
- image segmentation
- machine learning
- structured data
- training examples
- dependency graph
- graph based algorithm
- training samples