Encoding Concepts in Graph Neural Networks.
Lucie Charlotte MagisterPietro BarbieroDmitry KazhdanFederico SicilianoGabriele CiravegnaFabrizio SilvestriPietro LiòMateja JamnikPublished in: CoRR (2022)
Keyphrases
- neural network
- genetic algorithm
- pattern recognition
- graph representation
- structured data
- random walk
- background knowledge
- directed graph
- fuzzy systems
- dependency graph
- graph theoretic
- graph model
- weighted graph
- concept learning
- graph theory
- recurrent neural networks
- neural network model
- connected components
- neural nets
- multilayer perceptron
- feed forward
- training process
- graph mining
- graph databases
- graph partitioning
- complex networks
- random graphs
- back propagation