Neighborhood-enhanced contrast for pre-training graph neural networks.
Yichun LiJin HuangWeihao YuTinghua ZhangPublished in: Neural Comput. Appl. (2024)
Keyphrases
- neural network
- training process
- training algorithm
- multi layer perceptron
- feedforward neural networks
- neighborhood graph
- error back propagation
- artificial neural networks
- feed forward neural networks
- graph representation
- recurrent neural networks
- feed forward
- training phase
- neural network training
- backpropagation algorithm
- minimal spanning tree
- graph theory
- genetic algorithm
- directed graph
- fuzzy logic
- neural network model
- random walk
- decision trees
- neural network structure
- training data
- recurrent networks
- training patterns
- pattern recognition
- back propagation
- graph model
- structured data
- connected components
- bipartite graph
- multilayer perceptron
- activation function
- test set
- graph data
- training set
- fault diagnosis
- multi layer
- support vector
- graph based algorithm
- weighted graph