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You're reading from  Graph Data Science with Neo4j

Product typeBook
Published inJan 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781804612743
Edition1st Edition
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Estelle Scifo
Estelle Scifo
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Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

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Discovering the Neo4j Bloom graph application

Neo4j Bloom is distributed by Neo4j and is a professional-looking application to deal with data specifically stored in a Neo4j database. In this section, we are going to discover its features and use its ability to configure node display color based on a property to visualize graph communities.

What is Bloom?

What can Bloom do for us? It can do all of the following:

  • Graph querying:
    • By label
    • By path
    • With a parametrized Cypher query
  • Graph visualization:
    • Filtered nodes, customized sizes, color, displayed properties, and so on
  • Graph editing:
    • Adding nodes and relationships
    • Adding/editing properties
  • Graph exploration:
    • Shortest path
    • GDS integration

In this chapter, I’ll leave apart the graph editing functionalities to focus on graph querying and graph data visualization features, taking a small tour of the GDS integration.

Bloom installation

If you are using Neo4j Desktop, chances are that it is already installed...

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Graph Data Science with Neo4j
Published in: Jan 2023Publisher: PacktISBN-13: 9781804612743

Author (1)

author image
Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo