Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning.
Tianmeng YangMin ZhouYujing WangZhengjie LinLujia PanBin CuiYunhai TongPublished in: CoRR (2023)
Keyphrases
- active learning
- neighborhood graph
- graph model
- neighborhood structure
- graph representation
- structured data
- semantic information
- semi supervised
- learning strategies
- directed graph
- minimal spanning tree
- selective sampling
- directed acyclic graph
- graph structure
- graph matching
- machine learning
- training set
- connected components
- high level
- natural language
- graph theoretic
- graph partitioning
- random walk
- semantic web
- labeled data
- graph theory
- semi supervised learning
- semantic similarity
- graph mining
- risk management
- experimental design
- semantic network
- supervised learning
- learning process
- unlabeled data
- active learning strategies
- transfer learning