Partition-Based Active Learning for Graph Neural Networks.
Jiaqi MaZiqiao MaJoyce ChaiQiaozhu MeiPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- active learning
- neural network
- pattern recognition
- fuzzy logic
- graph representation
- random sampling
- artificial neural networks
- random walk
- back propagation
- bipartite graph
- graph model
- directed acyclic graph
- weighted graph
- fault diagnosis
- graph structure
- directed graph
- batch mode
- selective sampling
- graph based algorithm
- machine learning
- genetic algorithm
- learning algorithm
- supervised learning
- neural network model
- semi supervised
- multi layer
- imbalanced data classification
- similarity measure
- graph theoretic
- pairwise
- learning process
- learning strategies
- self organizing maps
- connected components
- neural nets
- recurrent neural networks
- multilayer perceptron
- feed forward