Partition-Based Active Learning for Graph Neural Networks.
Jiaqi MaZiqiao MaJoyce ChaiQiaozhu MeiPublished in: CoRR (2022)
Keyphrases
- active learning
- neural network
- random walk
- graph structure
- pattern recognition
- graph representation
- graph model
- graph theoretic
- graph theory
- learning strategies
- genetic algorithm
- bipartite graph
- feed forward
- directed graph
- self organizing maps
- artificial neural networks
- semi supervised learning
- semi supervised
- graph matching
- directed acyclic graph
- unlabeled data
- learning algorithm
- weighted graph
- random sampling
- spanning tree
- graph mining
- training process
- imbalanced data classification
- multi layer
- neural nets
- recurrent neural networks
- neural network model
- structured data
- back propagation
- training examples
- fuzzy logic
- learning process