Non-Parametric Graph Learning for Bayesian Graph Neural Networks.
Soumyasundar PalSaber MalekmohammadiFlorence RegolYingxue ZhangYishi XuMark CoatesPublished in: CoRR (2020)
Keyphrases
- neural network
- learning process
- graph representation
- directed graph
- random walk
- graph theory
- neural nets
- online learning
- learning algorithm
- graph structure
- bayesian learning
- pattern recognition
- knowledge acquisition
- structural learning
- graph model
- graph theoretic
- learning capabilities
- equivalence classes
- error back propagation
- learning rules
- gaussian processes
- bayesian inference
- incremental learning
- active learning
- prior knowledge
- reinforcement learning
- bayesian networks
- image segmentation
- clustering algorithm