Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks.
Jiaqing XieRex YingPublished in: PKDD/ECML Workshops (1) (2021)
Keyphrases
- finite element analysis
- neural network
- finite element
- pattern recognition
- graph representation
- back propagation
- connected components
- vector representation
- finite element model
- graph mining
- neural network model
- genetic algorithm
- fuzzy systems
- bipartite graph
- recurrent neural networks
- structured data
- random walk
- artificial neural networks
- feed forward
- directed graph
- graph structure
- multi layer
- fuzzy logic
- graph model
- spanning tree
- image features
- feature maps
- training data
- social networks
- preprocessing stage
- structural patterns