Node-oriented Spectral Filtering for Graph Neural Networks.
Shuai ZhengZhenfeng ZhuZhizhe LiuYouru LiYao ZhaoPublished in: CoRR (2022)
Keyphrases
- neural network
- graph structure
- directed graph
- random walk
- spectral decomposition
- nodes of a graph
- pattern recognition
- finding the shortest path
- graph theory
- normalized cut
- graph representation
- undirected graph
- tree structure
- graph theoretic
- artificial neural networks
- bipartite graph
- recurrent neural networks
- directed acyclic graph
- spectral methods
- connected components
- structured data
- back propagation
- path length
- graph model
- root node
- graph partitioning
- genetic algorithm
- multilayer perceptron
- neural nets
- weighted graph
- edge weights
- laplacian matrix
- fuzzy logic
- activation function
- hyperspectral images
- small world
- filtering algorithm
- graph clustering
- graph structures
- neural network model
- strongly connected
- shortest path
- betweenness centrality
- image processing