Explaining Dynamic Graph Neural Networks via Relevance Back-propagation.
Jiaxuan XieYezi LiuYanning ShenPublished in: CoRR (2022)
Keyphrases
- back propagation
- neural network
- dynamic graph
- artificial neural networks
- feed forward
- bp algorithm
- training algorithm
- trained neural network
- bp neural network
- neural nets
- backpropagation algorithm
- multilayer perceptron
- feed forward neural networks
- hidden layer
- cascade correlation
- activation function
- error back propagation
- fuzzy logic
- learning algorithm
- feedforward neural networks
- learning rules
- weight update
- connection weights
- levenberg marquardt
- bp network
- temporal sequences
- recurrent neural networks
- multilayer neural network
- multi layer
- radial basis function
- fault diagnosis
- rule extraction
- artificial intelligence