Outcome Correlation in Graph Neural Network Regression.
Junteng JiaAustin R. BensonPublished in: CoRR (2020)
Keyphrases
- neural network
- regression model
- graph representation
- graph theory
- artificial neural networks
- regression analysis
- back propagation
- graph theoretic
- weighted graph
- graph matching
- graph model
- correlation coefficient
- neural network model
- connected components
- self organizing maps
- random walk
- model selection
- directed graph
- feed forward
- recurrent neural networks
- linear regression
- support vector regression
- regression algorithm
- multi layer
- genetic algorithm
- spanning tree
- graph based algorithm
- simple linear
- neural network is trained
- activation function
- graph partitioning
- graph mining
- graph structure
- fault diagnosis
- pattern recognition
- machine learning