Hodler A.E., Needham M. Graph Algorithms: Practical Examples in Apache Spark and Neo4j

Sebastopol: O’Reilly, 2019. — xvi+240 p. — ISBN: 978-1-492-05781-9.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 bottlenecksto 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.Graph Theory and Concepts
Graph Platforms and Processing
Pathfinding and Graph Search Algorithms
Centrality Algorithms
Community Detection Algorithms
Graph Algorithms in Practice
Using Graph Algorithms to Enhance Machine Learning
Appendix. Additional Information and ResourcesTrue PDF