Knowledge Graph Embeddings
Mayank explains the concept of knowledge graph embeddings, which are machine learning algorithms that convert entities and relations in a knowledge graph into vectors. These dense vectors can be used to discover new relations, identify incorrect facts, and perform various analyses within the knowledge graph.In this clip
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