Graph Embeddings: 5 Ways Your AI Can Learn From Your Connected Data

Name: Graph Embeddings: 5 Ways Your AI Can Learn From Your Connected Data
Uploaded: 2022-04-20T04:31:52-07:00
Duration: 29 min 10 s
Description: Implemented in production-grade within the Neo4j Graph Data Science library, Graph Embeddings are an advanced AI technology used to translate your connected data – knowledge graphs, customer journeys, and transaction networks – into a predictive signal. Applications of Graph Embeddings are…

April 20, 2022
Length: 29 min

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Implemented in production-grade within the Neo4j Graph Data Science library, Graph Embeddings are an advanced AI technology used to translate your connected data – knowledge graphs, customer journeys, and transaction networks – into a predictive signal.

Applications of Graph Embeddings are numerous: finding fraud, entity resolution and disambiguation, improving product recommendations, discovering new drugs and predicting churn.

GenAI & GraphRAGGraph Data ScienceKnowledge graphs