AGL: a Scalable System for Industrial-purpose Graph Machine Learning.
Dalong ZhangXin HuangZiqi LiuZhiyang HuXianzheng SongZhibang GeZhiqiang ZhangLin WangJun ZhouShuang YangYuan QiPublished in: CoRR (2020)
Keyphrases
- machine learning
- graph representation
- industrial applications
- graph theory
- machine learning methods
- learning algorithm
- graph structure
- pattern recognition
- artificial intelligence
- graph model
- computer vision
- knowledge acquisition
- graph matching
- random walk
- learning systems
- machine learning approaches
- graph based algorithm
- text classification
- information extraction
- feature selection
- structured data
- industrial processes
- web scale
- decision trees
- graph partitioning
- text mining
- model selection
- learning tasks
- connected components
- natural language processing
- reinforcement learning
- bipartite graph
- graph theoretic
- dependency graph
- lightweight