Low-Dimensional Hyperbolic Knowledge Graph Embeddings.
Ines ChamiAdva WolfDa-Cheng JuanFrederic SalaSujith RaviChristopher RéPublished in: CoRR (2020)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- domain knowledge
- high dimensional data
- input space
- knowledge base
- data points
- knowledge acquisition
- manifold learning
- graph embedding
- euclidean space
- feature space
- principal component analysis
- directed graph
- prior knowledge
- feature extraction
- knowledge management
- knowledge based systems
- random walk
- vector space
- knowledge discovery
- graph model
- graph theoretic
- latent space