Non Parametric Graph Learning for Bayesian Graph Neural Networks.
Soumyasundar PalSaber MalekmohammadiFlorence RegolYingxue ZhangYishi XuMark CoatesPublished in: UAI (2020)
Keyphrases
- neural network
- graph theory
- learning process
- directed graph
- random walk
- pattern recognition
- online learning
- graph representation
- learning systems
- genetic algorithm
- weighted graph
- graph model
- learning tasks
- graph partitioning
- fully connected
- supervised learning
- structural learning
- bayesian learning
- undirected graph
- graph based algorithm
- connectionist systems
- directed acyclic graph
- neural nets
- connected components
- structured data
- shortest path
- knowledge acquisition
- maximum likelihood
- active learning
- training data
- learning algorithm