Active Learning for Graphs with Noisy Structures.
Hongliang ChiCong QiSuhang WangYao MaPublished in: SDM (2024)
Keyphrases
- active learning
- introduce a general framework
- complex structures
- semi supervised
- graph structures
- machine learning
- batch mode
- learning strategies
- learning algorithm
- graph theoretic
- graph databases
- graph structure
- graph theory
- graph matching
- bayesian networks
- class imbalance
- weighted graph
- graph partitioning
- noisy environments
- random graphs
- training examples
- graphical structure
- pool based active learning
- imbalanced data classification