Strategies for Pre-training Graph Neural Networks.
Weihua HuBowen LiuJoseph GomesMarinka ZitnikPercy LiangVijay S. PandeJure LeskovecPublished in: ICLR (2020)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- neural network training
- training set
- feed forward neural networks
- back propagation
- backpropagation algorithm
- neural network structure
- graph representation
- graph model
- pattern recognition
- graph theory
- training data
- training patterns
- graph structure
- error back propagation
- directed acyclic graph
- directed graph
- artificial neural networks
- fuzzy logic
- structured data
- random walk
- neural nets
- neural network model
- spanning tree
- activation function
- supervised learning
- training samples
- multilayer neural network
- fuzzy systems
- test set
- self organizing maps
- optimal strategy
- graph partitioning
- graph matching