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Knowledge Graphs & Semantic AI › Knowledge Graph Embeddings

How does Knowledge Graph Embeddings work

Beginner

Answer

Entities and relationships are converted into vectors of numbers that capture their meaning and connections, making it possible to measure similarity or predict missing relationships.
Real-world example Knowledge graph embeddings can help predict a likely missing connection, such as suggesting that a person probably works at a certain company based on other known facts.

Common follow-ups: What is Knowledge Graphs & Semantic AI, How is Knowledge Graph Embeddings evaluated in practice, What tools are commonly used for Knowledge Graph Embeddings