0

All Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Hands-On Graph Analytics with Neo4j

You're reading from Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise

Product type Paperback

Published in Aug 2020

Publisher Packt

ISBN-13 9781839212611

Length 510 pages

Edition 1st Edition

Languages

Cypher

Tools

Neo4j

Concepts

Database Programming

Author (1):

Scifo

View More author details

Table of Contents (18) Chapters

Preface

1. Section 1: Graph Modeling with Neo4j

2. Graph Databases FREE CHAPTER

3. The Cypher Query Language

4. Empowering Your Business with Pure Cypher

5. Section 2: Graph Algorithms

6. The Graph Data Science Library and Path Finding

7. Spatial Data

8. Node Importance

9. Community Detection and Similarity Measures

10. Section 3: Machine Learning on Graphs

11. Using Graph-based Features in Machine Learning

12. Predicting Relationships

13. Graph Embedding - from Graphs to Matrices

14. Section 4: Neo4j for Production

15. Using Neo4j in Your Web Application

16. Neo4j at Scale

17. Other Books You May Enjoy

Leave a review - let other readers know what you think

File location

Whether importing CSV, JSON, or another file format, this file can be located in the following places:

Online and reachable through a public URL: 'http://example.com/data.csv'
On your local disk: 'files:///data.csv'

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $15.99/month. Cancel anytime

Authors (1)

Scifo

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.

See other products by Scifo

Other recommended products

Related to this chapter

Graph Machine Learning

Graph Machine Learning

Data scientists working with network data will be able to put their knowledge to work with this practical guide to building machine learning algorithms using graph data. The book provides a hands-on approach to implementation and associated methodologies that will have you up and running and productive in no time.

Jun 2021 11h 16m

Network Science with Python and NetworkX Quick Start Guide

Network Science with Python and NetworkX Quick Start Guide

The emerging field of Network Science is about understanding different kind of relationships. This book covers the latest version 2.x of NetworkX for performing Network Science with Python.You will also learn the fundamentals of network theory and see practical examples of how they are applied to real-world problems using Python and NetworkX.

Apr 2019 6h 20m

Learning Neo4j 3.x

Learning Neo4j 3.x

With increase in complexity of data relationships, graph databases are quickly becoming the de-facto standard for organizations who manage large volumes of connected data. This book aims at getting you started with the popular graph database Neo4j along with covering key concepts like modelling transitions, searches, traversals, relationships and protocols to navigate through complex networks of information. Also take a trip down the new and improved feature additions to version 3.x such as the APOC library, security, various plugins and extensions for spatial operations on data.

Oct 2017 10h 32m

Geospatial Data Science Quick Start Guide

Geospatial Data Science Quick Start Guide

This book will help you leverage the power of data analysis and apply it to location and geospatial data to gain interesting insights. It presents useful tools and location intelligence techniques in Python to implement geospatial analytics from scratch.

May 2019 5h 40m

Practical Discrete Mathematics

Practical Discrete Mathematics

Discrete math deals with studying finite and distinct elements. With this book, you'll learn the discrete math language and methods crucial to studying and describing objects and functions in computer science. You'll also focus on the mathematics of machine learning and computer science and prepare to understand real-world algorithm development.

Feb 2021 11h 0m

Personalised recommendations for you

Based on your interests and search pattern

Mathematics of Machine Learning

Mathematics of Machine Learning

Deepen your theoretical knowledge and enhance your ability to solve complex machine learning problems with structured guidance. Gain the confidence to engage with advanced ML literature and tailor algorithms to meet your project requirements.

May 2025 24h 20m

Generative AI with Python and PyTorch

Generative AI with Python and PyTorch

Learn how to create images and text using VAEs, GANs, LSTMs, and transformers. Implement applications in natural language processing and computer vision through practical tutorials.

Mar 2025 15h 0m

Practical Generative AI with ChatGPT

Practical Generative AI with ChatGPT

This book helps you unlock ChatGPT's potential to make your working life better. From prompt engineering to creating custom GPTs, you'll enhance your productivity, creativity, and efficiency with practical insights and advanced techniques.

Apr 2025 12h 52m

Generative AI with LangChain

Generative AI with LangChain

Gain a solid foundation in LangChain, agentic AI, and LangGraph, and learn to build production-ready systems with multi-agent architectures, advanced RAG pipelines, Tree of Thought reasoning, agent handoffs, and fine-grained error handling.

May 2025 15h 52m

Architecting Power BI Solutions in Microsoft Fabric

Architecting Power BI Solutions in Microsoft Fabric

Power BI provides several options to solve common data problems, and designing the correct solution for each scenario can be a daunting task. This book makes it easier by guiding you through designing optimal solutions using Power BI.

Apr 2025 14h 16m

Microsoft Identity and Access Administrator SC-300 Exam Guide

Microsoft Identity and Access Administrator SC-300 Exam Guide

This comprehensive guide covers key topics such as Microsoft Entra ID implementation, authentication and access management, external user management, and hybrid identity solutions, providing practical insights and techniques for SC-300 exam success.

Mar 2025 19h 48m

LLM Design Patterns

LLM Design Patterns

This book helps you gain practical skills to develop and deploy LLMs. You'll learn data prep, training, pruning, quantization, and evaluation, as well as explore RAG, advanced prompting, and optimization to build robust, scalable language models.

May 2025 17h 48m

Tableau Cookbook for Experienced Professionals

Tableau Cookbook for Experienced Professionals

Advance your Tableau knowledge beyond the basics, streamline dashboard performance, tackle advanced geospatial challenges, and unlock API potential while fortifying your corporate data infrastructure with proven best practices.

Apr 2025 12h 24m

Time Series Analysis with Spark

Time Series Analysis with Spark

This book offers a complete guide to time series analysis with Apache Spark and Databricks, covering essential concepts and advanced techniques including Generative AI to equip readers with skills for real-world challenges across industries.

Mar 2025 9h 56m

Hands-On Artificial Intelligence for IoT

Hands-On Artificial Intelligence for IoT

Transform IoT systems with the power of artificial intelligence using this hands-on guide. Dive into practical techniques and expert insights to innovate and optimize your IoT devices, making them smarter and more efficient.

May 2025 15h 44m