Graph Algorithms

Practical Examples in Apache Spark and Neo4j

Book Details

Authors	Mark Needham, Amy Hodler
Publisher	O'Reilly Media
Published	2019
Edition	1
Paperback	265 pages
Language	English
ISBN-13	9781492047674, 9781492047681
ISBN-10	1492047678, 1492047686
License	Compliments of Neo4j

Book Description

Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior.

Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns - from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics.

- Learn how graph analytics reveal more predictive elements in today's data
- Understand how popular graph algorithms work and how they're applied
- Use sample code and tips from more than 20 graph algorithm examples
- Learn which algorithms to use for different types of questions
- Explore examples with working code and sample datasets for Spark and Neo4j
- Create an ML workflow for link prediction by combining Neo4j and Spark

This book is published as open-access, which means it is freely available to read, download, and share without restrictions.

If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.

Download and Read Links

PDF

Share This Book

[localhost]# find . -name "Similar_Books"

Learning Neo4j

Graph

Neo4j is the world's leading graph database and offers users a radical new way of dealing with connected data. This book has been created to help you get to grips with it, providing you with an accessible route through a tool built to contend with the complexity of modern data. Learn the fundamental concepts behind Neo4j, and put them into practice

Graph Databases For Beginners

Graph NoSQL

So someone has heard about graph databases and wants to understand what all the buzz is about. Are they just a passing trend - here today and gone tomorrow - or are they a rising tide that businesses and development teams can't afford to ignore? Whether they're a business executive or a seasoned developer, something - perhaps a pressing business ch

Algorithms

Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as old as mathematics itself. This book is a wide-ranging, idiosyncratic treatise on the design and analysis of algorithms, covering several fundamental techniques, with an emphasis on intuition and the proble

A Practical Guide to TPM 2.0

Security

A Practical Guide to TPM 2.0: Using the Trusted Platform Module in the New Age of Security is a straight-forward primer for developers. It shows security and TPM concepts, demonstrating their use in real applications that the reader can try out. Simply put, this book is designed to empower and excite the programming community to go out and do cool

Architecture Patterns with Python

Python

As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Pytho

Graph Databases, 2nd Edition