FASTRAIN-GNN: Fast and Accurate Self-Training for Graph Neural Networks.
Amrit NagarajanAnand RaghunathanPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- neural network
- high accuracy
- random walk
- graph theoretic
- graph representation
- graph structure
- pattern recognition
- bipartite graph
- genetic algorithm
- weighted graph
- recurrent neural networks
- multilayer perceptron
- co training
- structured data
- connected components
- semi supervised
- fuzzy logic
- training set
- highly accurate
- high quality
- multi layer
- undirected graph
- graph mining
- semi supervised classification
- directed acyclic graph
- dependency graph
- fuzzy systems
- graph theory
- graph matching
- feed forward
- self organizing maps
- fault diagnosis
- semi supervised learning
- artificial neural networks
- expert systems