Low-Dimensional Hyperbolic Knowledge Graph Embeddings.
Ines ChamiAdva WolfDa-Cheng JuanFrederic SalaSujith RaviChristopher RéPublished in: ACL (2020)
Keyphrases
- low dimensional
- high dimensional
- manifold learning
- dimensionality reduction
- high dimensional data
- euclidean space
- knowledge acquisition
- graph embedding
- input space
- computer vision
- knowledge representation
- graph theory
- domain knowledge
- knowledge base
- expert systems
- vector space
- prior knowledge
- data mining techniques
- knowledge management
- random walk
- knowledge based systems
- knowledge discovery
- dimension reduction
- graph matching
- neural network
- pattern recognition
- input data
- graph structure
- directed acyclic graph
- manifold structure