GraphStuff.FM: The Neo4j Graph Database Developer Podcast cover image

GraphStuff.FM: The Neo4j Graph Database Developer Podcast

What Is Graph Data Science?

Jun 28, 2023
Graph data science and its connection to AI and generative AI. Different access patterns in graph databases and the use of graph algorithms. Relationship between generative AI and graph data science. Introduction to APOC load JSON tool for geospatial functionality. Favorite tools for graph data science. Tools and features of Spring Data Neo4j.
49:02

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Quick takeaways

  • Graph data science involves using graph databases to analyze complex relationships in data and enhance the functionality of applications.
  • Graph data science provides explainability and visualization, allowing for traceability of results and representation of complex graph structures in a visually appealing manner.

Deep dives

Graph data science and its relation to AI and generative AI

Graph data science is the study of using graph structures and algorithms to analyze and gain insights from data. It is particularly relevant to artificial intelligence (AI) and generative AI, as it allows for the exploration and understanding of complex relationships in data. Graph data science involves using graph databases to perform local traversals and global graph operations, such as page rank, to answer questions and solve problems. It offers application developers the ability to leverage graph algorithms and techniques to enhance the functionality of their applications.

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