Beyond Entity Variance: Deep Dive into Uncertainty in Knowledge Graph Embeddings

This ArXiv paper addresses a crucial aspect of knowledge graph embeddings by moving beyond simple variance measures of entities. The research likely offers valuable insights into more robust and nuanced uncertainty modeling for knowledge graph representation and inference.

• •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.