AGL: A Scalable System for Industrial-purpose Graph Machine Learning.
Dalong ZhangXin HuangZiqi LiuJun ZhouZhiyang HuXianzheng SongZhibang GeLin WangZhiqiang ZhangYuan QiPublished in: Proc. VLDB Endow. (2020)
Keyphrases
- machine learning
- information extraction
- artificial intelligence
- graph theory
- machine learning methods
- graph structure
- pattern recognition
- directed graph
- learning systems
- machine learning algorithms
- learning algorithm
- structured data
- random walk
- decision trees
- knowledge acquisition
- feature selection
- dependency graph
- web scale
- graph theoretic
- explanation based learning
- industrial applications
- graph model
- weighted graph
- computer vision
- bipartite graph
- graph matching
- connected components
- data analysis
- lightweight
- computational intelligence
- inductive learning
- directed acyclic graph
- graph mining
- natural language
- knowledge representation
- text mining
- highly scalable