A Structural-Clustering Based Active Learning for Graph Neural Networks.
Ricky Maulana FajriYulong PeiLu YinMykola PechenizkiyPublished in: CoRR (2023)
Keyphrases
- active learning
- neural network
- pattern recognition
- graph model
- weighted graph
- directed graph
- graph structure
- neural network model
- recurrent neural networks
- graph theory
- learning strategies
- back propagation
- multi layer
- fuzzy logic
- decision trees
- graph representation
- selective sampling
- cost sensitive
- machine learning
- structural information
- connected components
- semi supervised
- genetic algorithm
- feed forward
- bipartite graph
- fault diagnosis
- structured data
- random walk
- random sampling
- directed acyclic graph
- artificial neural networks
- undirected graph
- learning algorithm
- pool based active learning