On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs.
Joshua CapeMinh TangCarey E. PriebePublished in: Netw. Sci. (2019)
Keyphrases
- network structure
- spectral embedding
- feature representation
- graph model
- social networks
- cue integration
- spectral methods
- network analysis
- dynamic networks
- real world networks
- complex networks
- semi supervised clustering
- min cut
- link prediction
- small world
- embedding space
- image segmentation
- laplace beltrami
- random walk
- spectral analysis
- graph clustering
- metric learning
- weighted graph
- manifold learning
- community structure
- social network analysis
- graph cuts
- low dimensional
- text mining