Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels.
Fali WangTianxiang ZhaoSuhang WangPublished in: CoRR (2024)
Keyphrases
- neural network
- label propagation
- training set
- semi supervised classification
- graph representation
- labeled graphs
- semi supervised learning
- gaussian graphical models
- fuzzy logic
- semi supervised
- pattern recognition
- graph structure
- high dimensional
- graph model
- graph theory
- global consistency
- training data
- pairwise
- directed graph
- artificial neural networks
- random walk
- directed acyclic
- self organizing maps
- weighted graph
- random variables
- edge weights
- back propagation
- co training
- adjacency matrix
- image classification
- sparse representation
- neural network model
- directed acyclic graph
- multi layer
- bipartite graph
- cost sensitive