Graph Spectral Regularization for Neural Network Interpretability.
Alexander TongDavid van DijkJay S. Stanley IIIMatthew AmodioGuy WolfSmita KrishnaswamyPublished in: CoRR (2018)
Keyphrases
- neural network
- graph laplacian
- spectral analysis
- spectral decomposition
- artificial neural networks
- graph model
- directed graph
- graph theory
- random walk
- back propagation
- bp neural network
- laplacian matrix
- solution path
- spectral methods
- graph structure
- genetic algorithm
- pattern recognition
- fuzzy logic
- graph representation
- neural network is trained
- fault diagnosis
- neural network model
- associative memory
- prior information
- weighted graph
- connected components
- spanning tree
- prediction model
- multispectral images
- graph construction
- structured data
- prediction accuracy
- bipartite graph
- neural nets
- recurrent neural networks