Book Image

Graph Data Science with Neo4j

By : Estelle Scifo
5 (1)
Book Image

Graph Data Science with Neo4j

5 (1)
By: Estelle Scifo

Overview of this book

Neo4j, along with its Graph Data Science (GDS) library, is a complete solution to store, query, and analyze graph data. As graph databases are getting more popular among developers, data scientists are likely to face such databases in their career, making it an indispensable skill to work with graph algorithms for extracting context information and improving the overall model prediction performance. Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and practical instructions for implementing data science techniques on graph data using the latest Neo4j version 5 and its associated libraries. You’ll start by querying Neo4j with Cypher and learn how to characterize graph datasets. As you get the hang of running graph algorithms on graph data stored into Neo4j, you’ll understand the new and advanced capabilities of the GDS library that enable you to make predictions and write data science pipelines. Using the newly released GDSL Python driver, you’ll be able to integrate graph algorithms into your ML pipeline. By the end of this book, you’ll be able to take advantage of the relationships in your dataset to improve your current model and make other types of elaborate predictions.
Table of Contents (16 chapters)
1
Part 1 – Creating Graph Data in Neo4j
4
Part 2 – Exploring and Characterizing Graph Data with Neo4j
8
Part 3 – Making Predictions on a Graph

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

active node 239

adjacency matrix 9, 179

algorithm

using, from Cypher 253

algorithm results

mutate 98

stats 98

stream mode 98

write 98

annotations

adding 253

APOC Extended

used, for synchronizing Gephi 146-148

used, for synchronizing Neo4j 146-148

APOC library, for JSON data 41

database, browsing 41

data loading 44

temporal data, dealing with 47, 48

APOC plugin 42

installing 42

installing, with Neo4j Desktop 43

arcs 68

area under the curve (AUC) scores 227

average clustering coefficient 90

Awesome Procedures on Cypher (APOC) 13, 40, 96

URL 40

B

Betweenness centrality 119, 120

Binary JSON (BSON) 41

bipartite graph 72

Bloom 138

graph editing 138

graph exploration 139

graph querying 138

graph...