Structural Fairness-aware Active Learning for Graph Neural Networks.
Haoyu HanXiaorui LiuLi MaMohamadAli TorkamaniHui LiuJiliang TangMakoto YamadaPublished in: ICLR (2024)
Keyphrases
- active learning
- neural network
- random walk
- pattern recognition
- graph representation
- semi supervised
- neural network model
- directed graph
- back propagation
- spanning tree
- directed acyclic graph
- graph model
- weighted graph
- resource allocation
- pool based active learning
- graph matching
- graph theory
- fault diagnosis
- random sampling
- fuzzy logic
- genetic algorithm
- graph mining
- selective sampling
- graph structure
- connected components
- bipartite graph
- recurrent neural networks
- structural information
- learning strategies
- relevance feedback
- artificial neural networks
- learning algorithm
- structured data
- training examples
- graph databases
- training set
- machine learning