Topological Node2vec: Enhanced Graph Embedding via Persistent Homology.
Yasuaki HiraokaYusuke ImotoKillian MeehanThéo LacombeToshiaki YachimuraPublished in: CoRR (2023)
Keyphrases
- persistent homology
- graph embedding
- morse theory
- topological features
- semi supervised
- discriminant analysis
- low dimensional
- computational geometry
- dimensionality reduction
- data representation
- graph structure
- directed graph
- feature representation
- pattern recognition
- geometric properties
- dictionary learning
- subspace learning
- link prediction
- feature selection
- manifold learning
- tree structure
- unlabeled data
- image processing