Variance-Constrained Learning for Stochastic Graph Neural Networks.
Zhan GaoElvin IsufiAlejandro RibeiroPublished in: ICASSP (2021)
Keyphrases
- neural network
- learning algorithm
- learning rules
- learning process
- knowledge acquisition
- graph representation
- learning scheme
- weighted graph
- unsupervised learning
- random walk
- prior knowledge
- learning systems
- structured data
- covariance matrix
- graph matching
- supervised learning
- graph databases
- pattern recognition
- image segmentation