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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
Languages
Python
Tools
Neo4j
Concepts
Mobile Application Development
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Author (1)
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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Summary

In this chapter, we’ve explored a few helpful tools for graph data visualization. First, networkx has helped us visualize relatively small graphs in a Jupyter notebook. We have explored the challenge of graph data visualization and learned about graph layout. In the second part, we have used another great tool—part of the Neo4j ecosystem—called Neo4j Bloom. It has many features allowing to deal with graph data stored in Neo4j without writing any Cypher query. We have focused on how to customize the appearance of the graph, choosing the node’s color and size.

Finally, we have discovered a very powerful tool we have to know about when dealing with GDS: Gephi. Here, again, we have focused on node appearance configuration.

In all cases, you are highly encouraged to dig deeper into these tools by yourself, using your own data and/or exploring the features we can’t talk about in this book (unless we double its length, but then nobody would...

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Graph Data Science with Neo4j
Published in: Jan 2023Publisher: PacktISBN-13: 9781804612743
© 2023 Packt Publishing Limited All Rights Reserved

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

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