Learning Stochastic Graph Neural Networks With Constrained Variance.
Zhan GaoElvin IsufiPublished in: IEEE Trans. Signal Process. (2023)
Keyphrases
- neural network
- learning process
- learning algorithm
- learning systems
- supervised learning
- cascade correlation
- prior knowledge
- feedforward neural networks
- knowledge acquisition
- learning tasks
- training process
- bipartite graph
- incremental learning
- learning problems
- genetic algorithm
- error back propagation
- learning rules
- inductive inference
- learning scheme
- graph model
- graph matching
- artificial neural networks
- directed graph
- training data
- back propagation
- unsupervised learning
- reinforcement learning
- active learning
- pattern recognition