Investigating Extensions to Random Walk Based Graph Embedding.
Jörg SchlöttererMartin WehkingFatemeh Salehi RiziMichael GranitzerPublished in: ICCC (2019)
Keyphrases
- random walk
- graph embedding
- discriminant analysis
- data representation
- low dimensional
- dimensionality reduction
- semi supervised
- markov chain
- subspace learning
- transition probability matrix
- markov random walk
- dictionary learning
- geometric properties
- directed graph
- face recognition
- feature representation
- high dimensional data
- unlabeled data
- principal component analysis
- information extraction
- embedding space
- bayesian networks
- feature selection