GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges.
Jie WangJianqing LiangJiye LiangKaixuan YaoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- neural network
- directed graph
- training algorithm
- weighted graph
- training process
- undirected graph
- feedforward neural networks
- backpropagation algorithm
- back propagation
- spanning tree
- directed acyclic graph
- feed forward neural networks
- edge weights
- pattern recognition
- error back propagation
- directed edges
- neural network model
- artificial neural networks
- vertex set
- multi layer perceptron
- massive graphs
- deep architectures
- graph structure
- recurrent networks
- graph representation
- multi layer
- test set
- genetic algorithm
- deep learning
- spectral embedding
- multilayer perceptron
- random walk
- self organizing maps
- training examples
- training samples
- nodes of a graph
- training phase
- social networks
- fuzzy logic
- multilayer neural network
- supervised learning
- real world graphs
- neural network structure
- fault diagnosis
- connected components
- radial basis function
- recurrent neural networks
- neural nets
- activation function
- graph theory