High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings.
Kai WangYu LiuQuan Z. ShengPublished in: CoRR (2021)
Keyphrases
- high efficiency
- low dimensional
- euclidean space
- high dimensional
- manifold learning
- prior knowledge
- high accuracy
- high dimensional data
- knowledge base
- dimension reduction
- domain knowledge
- knowledge representation
- data points
- knowledge discovery
- principal component analysis
- structured data
- input space
- result quality
- real and synthetic datasets
- graph embedding
- graph representation
- vector space
- probabilistic model
- expert systems