Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks.
Jun YinChaozhuo LiHao YanJianxun LianSenzhang WangPublished in: NeurIPS (2023)
Keyphrases
- online learning
- neural network
- training process
- back propagation
- pattern recognition
- graph theory
- graph model
- graph representation
- backpropagation algorithm
- feedforward neural networks
- graph theoretic
- training algorithm
- multi layer perceptron
- fuzzy logic
- random walk
- feed forward neural networks
- neural network training
- training patterns
- artificial neural networks
- multi layer
- graph structure
- multilayer perceptron
- graph mining
- bipartite graph
- radial basis function network
- training stage
- graph matching
- fault diagnosis