Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide.
Xuebin ZhengBingxin ZhouMing LiYu Guang WangJunbin GaoPublished in: CoRR (2020)
Keyphrases
- neural network
- graph representation
- artificial neural networks
- random walk
- graph structure
- back propagation
- pattern recognition
- genetic algorithm
- fuzzy logic
- multi layer
- feed forward
- graph model
- graph theory
- recurrent neural networks
- directed graph
- structured data
- graph matching
- neural nets
- connected components
- graph mining
- graph theoretic
- haar wavelet
- neural network model
- fault diagnosis
- wavelet coefficients
- graph partitioning
- semi supervised learning
- search engine optimization
- convolution kernel