Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels.
Fali WangTianxiang ZhaoSuhang WangPublished in: WSDM (2024)
Keyphrases
- neural network
- label propagation
- semi supervised learning
- training set
- labeled graphs
- edge weights
- graph structure
- gaussian graphical models
- global consistency
- semi supervised classification
- random walk
- pattern recognition
- fuzzy logic
- graph theory
- high dimensional
- genetic algorithm
- training data
- graph representation
- multi layer
- neural network model
- artificial neural networks
- multi label
- graph model
- data sets
- input pattern
- decision trees
- power law
- structured data
- co training
- directed acyclic graph
- random variables
- weighted graph
- semi supervised
- bipartite graph
- graph matching
- directed graph
- back propagation
- training examples
- multilayer perceptron
- machine learning
- data distribution