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: IJCAI (2020)
Keyphrases
- neural network
- neural learning
- connectionist models
- network architecture
- learning rules
- neural fuzzy
- symbolic knowledge
- associative memory
- genetic algorithm
- connectionist learning
- connectionist systems
- directed graph
- back propagation
- artificial neural networks
- pattern recognition
- neural computation
- neural network model
- fuzzy logic
- spiking neural networks
- graph theoretic
- graph representation
- homology generators
- recurrent neural networks
- connected components
- random walk
- graph model
- fuzzy systems
- edge weights
- weighted graph
- neural models
- neural nets
- multilayer perceptron
- complex networks
- fault diagnosis
- structured data