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Graph Data Science with Neo4j

You're reading from  Graph Data Science with Neo4j

Product type Book
Published in Jan 2023
Publisher Packt
ISBN-13 9781804612743
Pages 288 pages
Edition 1st Edition
Languages
Author (1):
Estelle Scifo Estelle Scifo
Profile icon Estelle Scifo

Table of Contents (16) Chapters

Preface 1. Part 1 – Creating Graph Data in Neo4j
2. Chapter 1: Introducing and Installing Neo4j 3. Chapter 2: Importing Data into Neo4j to Build a Knowledge Graph 4. Part 2 – Exploring and Characterizing Graph Data with Neo4j
5. Chapter 3: Characterizing a Graph Dataset 6. Chapter 4: Using Graph Algorithms to Characterize a Graph Dataset 7. Chapter 5: Visualizing Graph Data 8. Part 3 – Making Predictions on a Graph
9. Chapter 6: Building a Machine Learning Model with Graph Features 10. Chapter 7: Automatically Extracting Features with Graph Embeddings for Machine Learning 11. Chapter 8: Building a GDS Pipeline for Node Classification Model Training 12. Chapter 9: Predicting Future Edges 13. Chapter 10: Writing Your Custom Graph Algorithms with the Pregel API in Java 14. Index 15. Other Books You May Enjoy

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...

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Published in: Jan 2023 Publisher: Packt ISBN-13: 9781804612743
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