Vertex nomination between graphs via spectral embedding and quadratic programming.
Runbing ZhengVince LyzinskiCarey E. PriebeMinh TangPublished in: CoRR (2020)
Keyphrases
- quadratic programming
- spectral embedding
- graph model
- linear programming
- feature representation
- spectral methods
- semi supervised clustering
- interior point methods
- min cut
- directed graph
- undirected graph
- support vector machine
- data mining
- ls svm
- random walk
- laplace beltrami
- support vector
- weighted graph
- sample size
- graph cuts
- feature extraction