Residual Correlation in Graph Neural Network Regression.
Junteng JiaAustin R. BensonPublished in: KDD (2020)
Keyphrases
- neural network
- artificial neural networks
- regression model
- graph structure
- structured data
- directed graph
- graph theoretic
- graph theory
- random walk
- graph representation
- feed forward
- correlation coefficient
- connected components
- regression problems
- back propagation
- prediction model
- regression analysis
- training process
- support vector regression
- regression algorithm
- bipartite graph
- recurrent neural networks
- genetic algorithm
- neural nets
- weighted graph
- multi layer
- associative memory
- linear regression
- graph partitioning
- graph matching
- fault diagnosis