Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach.
Federico LópezBeatrice PozzettiSteve TrettelMichael StrubeAnna WienhardPublished in: ICML (2021)
Keyphrases
- manifold learning
- riemannian manifolds
- euclidean space
- vector space
- graph structure
- shape analysis
- graph theory
- structured data
- bipartite graph
- random walk
- hilbert space
- graph representation
- directed graph
- feature extraction
- weighted graph
- graph mining
- graph databases
- quotient space
- graph matching
- covariance matrices
- finite dimensional
- gaussian process latent variable models