Pre-Training Graph Neural Networks for Generic Structural Feature Extraction.
Ziniu HuChangjun FanTing ChenKai-Wei ChangYizhou SunPublished in: CoRR (2019)
Keyphrases
- training samples
- neural network
- feature extraction
- training set
- supervised learning
- pattern recognition
- training examples
- training data
- preprocessing
- high dimensional
- structural information
- pattern classification
- graph theory
- connected components
- image classification
- feature vectors
- back propagation
- training process
- face recognition
- fuzzy logic
- random walk
- artificial neural networks
- weighted graph
- graph model
- structural patterns
- genetic algorithm
- image processing
- feature selection
- texture analysis
- graph structure
- self organizing maps
- frequency domain
- feed forward neural networks
- feedforward neural networks
- preprocessing stage
- recurrent networks
- neural network training
- multilayer neural network