Feature Transportation Improves Graph Neural Networks.
Moshe EliasofEldad HaberEran TreisterPublished in: AAAI (2024)
Keyphrases
- neural network
- pattern recognition
- graph structure
- back propagation
- graph representation
- graph model
- weighted graph
- feature vectors
- fuzzy logic
- neighborhood structure
- vector representation
- structured data
- random walk
- artificial neural networks
- genetic algorithm
- preprocessing stage
- graph theoretic
- point distribution
- graph partitioning
- feature representation
- graph theory
- recurrent neural networks
- multilayer perceptron
- radial basis function
- directed graph
- connected components
- image features