Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective.
Luís C. LambArtur S. d'Avila GarcezMarco GoriMarcelo O. R. PratesPedro H. C. AvelarMoshe Y. VardiPublished in: CoRR (2020)
Keyphrases
- neural network
- connectionist models
- neural learning
- network architecture
- connectionist systems
- neural model
- pattern recognition
- symbolic knowledge
- graph theoretic
- graph structure
- connectionist learning
- viewpoint
- directed graph
- connected components
- back propagation
- random walk
- neural fuzzy
- bipartite graph
- artificial neural networks
- graph representation
- fuzzy systems
- neural network model
- structured data
- fuzzy logic
- homology generators
- graph theory
- learning rules
- activation function
- directed acyclic graph
- associative memory
- multi layer perceptron
- graph partitioning
- neural nets
- multilayer perceptron
- graph matching
- graphical models
- genetic algorithm