Graph Data Science with Neo4j
Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project
Published on 23. September 2024
288 pages
978-1-80461-490-7 (ISBN)
Description
No detailed description available for "Graph Data Science with Neo4j".
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Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
Product notice
Reflowable
File size
9,47 MB
ISBN-13
978-1-80461-490-7 (9781804614907)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Additional editions
Estelle Scifo
Graph Data Science with Neo4j
Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project
Book
01/2023
Packt Publishing
€53.90
Shipment within 3-4 weeks
Person
Scifo Estelle :
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.
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.
Content
Table of Contents
Introducing and Installing Neo4j
Using Existing Data to Build a Knowledge Graph
Characterizing a Graph Dataset
Using Graph Algorithms to Characterize a Graph Dataset
Visualizing Graph Data
Building a Machine Learning Model with Graph Features
Automatically Extracting Features with Graph Embeddings for Machine Learning
Building a GDS Pipeline for Node Classification Model Training
Predicting Future Edges
Writing Your Custom Graph Algorithm with the Pregel API
Introducing and Installing Neo4j
Using Existing Data to Build a Knowledge Graph
Characterizing a Graph Dataset
Using Graph Algorithms to Characterize a Graph Dataset
Visualizing Graph Data
Building a Machine Learning Model with Graph Features
Automatically Extracting Features with Graph Embeddings for Machine Learning
Building a GDS Pipeline for Node Classification Model Training
Predicting Future Edges
Writing Your Custom Graph Algorithm with the Pregel API
