Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning.
Soumyasundar PalFlorence RegolMark J. CoatesPublished in: CoRR (2019)
Keyphrases
- convolutional neural networks
- structured data
- graph representation
- graph theory
- structural learning
- graph model
- random walk
- directed graph
- connected components
- neural network
- spanning tree
- learning algorithm
- unsupervised learning
- learning tasks
- graph structure
- graph mining
- knowledge acquisition
- graph partitioning
- graphical models
- graph theoretic
- fully connected
- object detection