Beyond Entity Variance: Deep Dive into Uncertainty in Knowledge Graph Embeddings
Analysis
Key Takeaways
- •Explores uncertainty modeling in the context of knowledge graph embeddings.
- •Suggests limitations of using only entity variance as a measure of uncertainty.
- •Likely proposes new methods for representing and reasoning with uncertain knowledge.
“The research focuses on decomposing uncertainty in probabilistic knowledge graph embeddings.”