From Local to Global: Spectral-Inspired Graph Neural Networks.
Ningyuan HuangSoledad VillarCarey E. PriebeDa ZhengChengyue HuangLin YangVladimir BravermanPublished in: CoRR (2022)
Keyphrases
- neural network
- graph structure
- graph representation
- artificial neural networks
- pattern recognition
- spectral analysis
- graph theory
- global consistency
- graph model
- weighted graph
- global structure
- normalized cut
- hyperspectral imagery
- spectral methods
- random walk
- bayesian networks
- genetic algorithm
- hyperspectral images
- spectral decomposition
- laplacian matrix
- graph laplacian
- data sets
- graph theoretic
- global information
- multi layer perceptron
- spanning tree
- graph databases
- recurrent neural networks
- radial basis function
- directed graph
- structured data
- fuzzy logic