Knowledge Graphs & Semantic AI › Knowledge Graph Embeddings
How does Knowledge Graph Embeddings work
BeginnerAnswer
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.