Build, process, and analyze large-scale graphs with Spark.
Chapter 2: Building and Exploring Graphs; Network datasets; The communication network; Flavor networks; Social ego networks; Graph builders; The Graph factory method; edgeListFile; fromEdges; fromEdgeTuples; Building graphs; Building directed graphs; Building a bipartite graph; …
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly de…
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly de…
Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph databaseAbout This Book* Get acquainted with graph database systems and apply them in real-world use cases* Use Cypher query language, APOC and other Neo4j extensions to derive meaningful anal…
Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database Neo4j. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databas…
Design efficient and flexible databases by optimizing the power of Neo4j.
If you are a developer who wants to understand the fundamentals of modeling data in Neo4j and how it can be used to model full-fledged applications, then this book is for you. Some understanding of domain modeling may be advantageous but is not essential.
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Produce advanced network graphs in Gephi and gain valuable insights into your network datasets.
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