Incorporating symbolic domain knowledge into graph neural networks.
Tirtharaj DashAshwin SrinivasanLovekesh VigPublished in: Mach. Learn. (2021)
Keyphrases
- domain knowledge
- neural network
- connectionist models
- connectionist systems
- neural learning
- pattern recognition
- graph representation
- directed graph
- symbolic knowledge
- domain experts
- dependency graph
- fuzzy logic
- graph theory
- high level
- neural network model
- multi layer
- connectionist learning
- symbolic representation
- domain theory
- graph mining
- graph structure
- bipartite graph
- genetic algorithm
- artificial neural networks
- random walk
- domain ontology
- knowledge sources
- multilayer perceptron
- weighted graph
- graph partitioning
- recurrent neural networks
- spanning tree
- graph theoretic
- rule extraction
- random graphs
- neural nets
- structured data
- back propagation
- symbolic description
- link analysis
- fuzzy systems