Graph Neural Networks Including Sparse Interpretability.
Chris LinGerald J. SunKrishna C. BulusuJonathan R. DryMarylens HernandezPublished in: CoRR (2020)
Keyphrases
- neural network
- graph theory
- pattern recognition
- back propagation
- structured data
- high dimensional
- fuzzy logic
- graph theoretic
- graph representation
- feed forward
- graph structure
- multi layer
- gaussian graphical models
- sparse data
- directed acyclic graph
- weighted graph
- multilayer perceptron
- genetic algorithm
- artificial neural networks
- random walk
- neural nets
- random graphs
- graph matching
- graph partitioning
- directed graph
- linear combination
- directed acyclic
- graph based algorithm
- sparse matrix
- graph data
- fuzzy systems
- undirected graph
- spanning tree
- graph databases
- graph model
- fault diagnosis
- link analysis
- training process