Deep Constraint-Based Propagation in Graph Neural Networks.
Matteo TiezziGiuseppe MarraStefano MelacciMarco MagginiPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2022)
Keyphrases
- neural network
- pattern recognition
- graph theory
- graph theoretic
- random walk
- structured data
- stable set
- back propagation
- constraint satisfaction
- directed graph
- neural network model
- graph representation
- graph partitioning
- graph databases
- deep learning
- graph structure
- feed forward
- connected components
- graph search
- artificial neural networks
- information propagation
- genetic algorithm
- dependency graph
- rule extraction
- multilayer perceptron
- undirected graph
- link analysis
- multi layer
- fault diagnosis
- fuzzy logic
- bayesian networks
- machine learning