Restructuring Graph for Higher Homophily via Learnable Spectral Clustering.
Shouheng LiDongwoo KimQing WangPublished in: CoRR (2022)
Keyphrases
- spectral clustering
- graph laplacian
- graph construction
- graph partitioning
- normalized cut
- similarity matrix
- laplacian matrix
- label propagation
- similarity graph
- graph clustering
- spectral methods
- clustering method
- pairwise
- data clustering
- pairwise similarities
- affinity matrix
- clustering algorithm
- random walk
- eigendecomposition
- graph representation
- social networks
- constrained spectral clustering
- learning algorithm
- heat kernel
- evolutionary clustering
- neighborhood graph
- graph model
- bipartite graph
- k means
- alternative clusterings
- manifold structure
- spectral analysis
- adjacency matrix
- data points
- active learning