Deepwalk-assisted Graph PCA (DGPCA) for Language Networks.
Fenxiao ChenBin WangC.-C. Jay KuoPublished in: ICASSP (2019)
Keyphrases
- principal component analysis
- language learning
- programming language
- highly connected
- face recognition
- natural language
- small world
- fully connected
- directed graph
- graph structures
- edge weights
- social networks
- graph structure
- graph theory
- principal components
- principal components analysis
- independent component analysis
- dimensionality reduction
- graph layout
- weighted graph
- dynamic networks
- community discovery
- rewriting rules
- graph theoretic
- graph representation
- network analysis
- dimension reduction
- low dimensional
- social network analysis
- directed edges
- biological networks
- link formation
- feature space
- average degree
- random walk
- closure operator
- network structure
- covariance matrix
- principle component analysis
- complex networks
- graph mining