Interpretable Neuron Structuring with Graph Spectral Regularization.
Alexander TongDavid van DijkJay S. Stanley IIIMatthew AmodioKristina YimRebecca MuhleJames NoonanGuy WolfSmita KrishnaswamyPublished in: IDA (2020)
Keyphrases
- graph laplacian
- solution path
- spectral decomposition
- spectral analysis
- neural network
- laplacian matrix
- random walk
- graph representation
- spectral methods
- graph model
- structured data
- regularization parameter
- directed graph
- graph theory
- spanning tree
- weighted graph
- bayesian networks
- graph mining
- graph based algorithm
- spectral features
- bipartite graph
- graph structures
- graph construction
- kernel machines
- graph clustering
- normalized cut
- graph theoretic
- directed acyclic graph
- graph partitioning