Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.
Zhiqian ChenFanglan ChenLei ZhangTaoran JiKaiqun FuLiang ZhaoFeng ChenChang-Tien LuPublished in: CoRR (2020)
Keyphrases
- neural network
- spatial frequency
- spectral characteristics
- spatio temporal
- spectral decomposition
- pattern recognition
- spatial information
- artificial neural networks
- graph representation
- application domains
- graph theory
- directed graph
- spatial data
- random walk
- normalized cut
- spatial distribution
- graph model
- spatial databases
- multi layer
- spectral methods
- real world
- graph theoretic
- causal graph
- bipartite graph
- multispectral
- genetic algorithm
- connected components
- structured data
- spatial relationships
- image segmentation
- laplacian matrix
- fuzzy logic
- back propagation
- weighted graph
- neural nets
- directed acyclic graph
- spatial and temporal
- graph databases
- graph data
- multilayer perceptron
- spectral analysis
- space time
- graph kernels
- neighborhood graph
- graph structures
- cross domain
- feed forward
- graph mining
- graph matching