Graph-Informed Neural Networks.
Søren TaverniersEric Joseph HallMarkos A. KatsoulakisDaniel M. TartakovskyPublished in: AAAI Spring Symposium: MLPS (2021)
Keyphrases
- neural network
- random walk
- graph representation
- graph theory
- genetic algorithm
- graph model
- pattern recognition
- graph matching
- artificial neural networks
- back propagation
- graph theoretic
- multi layer
- graph structure
- feed forward
- directed graph
- fuzzy logic
- structured data
- neural network model
- fault diagnosis
- connected components
- directed acyclic graph
- training data
- graph partitioning
- multilayer perceptron
- neural nets
- weighted graph
- fuzzy systems
- graph mining
- spanning tree
- learning algorithm
- data sets