Learning Knowledge Graph Embeddings
Mayank explains how knowledge graph embeddings can infer relationships and provide new information about entities within a knowledge graph, using examples of capital cities and social networks. He discusses the power of deep neural networks in optimizing embeddings and the importance of having a large and connected graph for accurate results.In this clip
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