Spectral Greedy Coresets for Graph Neural Networks.
Mucong DingYinhan HeJundong LiFurong HuangPublished in: CoRR (2024)
Keyphrases
- neural network
- greedy algorithm
- pattern recognition
- random walk
- spectral methods
- spectral decomposition
- graph theory
- recurrent neural networks
- connected components
- search algorithm
- normalized cut
- graph representation
- artificial neural networks
- weighted graph
- back propagation
- spectral analysis
- graph structure
- multilayer perceptron
- directed graph
- fuzzy logic
- feature selection
- multi layer
- graph model
- graph theoretic
- bipartite graph
- laplacian matrix
- adjacency matrix
- greedy algorithms
- graph databases
- graph mining
- self organizing maps
- search space
- decision trees
- genetic algorithm