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Neo4j - A Graph Project Story

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Building Web Applications with Python and Neo4j

Is ForIf you are a Python developer and want to expand your understanding of Python-based web applications over Neo4j graph data models, this;

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Graph Algorithms Practical Examples in Apache Spark and Neo4j

for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph;

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Neo4j Graph Data Modeling

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Learning Neo4j

This book is for developers who want an alternative way to store and process data within their applications. No previous graph database;

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Graph-Powered Machine Learning

practices, optimization approaches, and common pitfalls. Key Features * The lifecycle of a machine learning project;

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Neo4j Cookbook

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neo4j Simply In Depth

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Neo4j High Performance

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Bases de donnees orientees graphes avec NEO4J

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Visual Design of GraphQL Data

as with Neo4j graph databases. Spending time on schema quality means that you will work from sharper definitions, which in turn leads to;

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Graph Theory Applications in Network Security

: English, abstract: Graph theory has become a very critical component in many applications in the computing field including networking and security;

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Learning GraphQL

Banks and Eve Porcello deliver a clear learning path for frontend web developers, backend engineers, and project and product managers looking to;

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Seven Databases in Seven Weeks 2e

technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new chapter on DynamoDB and updated content;

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Triple Graph Grammars for the Transformation of Business Process Models

primary topic is to provide an extendable platform for UML, Story Driven Modeling and Graph Transformation. In order to make a statement on how;

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The Practitioner's Guide to Graph Data Applying Graph Thinking and Graph Technologies to Solve Complex Problems

together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you'll arrive at a unique;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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Chromatic Graph Theory

of graph theory. Introducing graph theory with a coloring theme, Chromatic Graph Theory explores connections between major topics in graph theory;

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Graph Databases in Action

databases. Right off the bat, seasoned graph database experts introduce readers to just enough graph theory, the graph database ecosystem, and a;

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Graph Data Mining

Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world;

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Producing High-Quality Figures Using SAS/Graph(r) and Ods Graphics Procedures

discusses how to produce figures in a SAS Enterprise Guide project.;

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Producing High-Quality Figures Using SAS/GRAPH (R) and ODS Graphics Procedures

discusses how to produce figures in a SAS Enterprise Guide project.;

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Graph Databases

implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response;

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Graph Representation Learning

this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings;

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Algebraic Graph Algorithms

assumes readers have a background in graph theory and/or graph algorithms.;

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Querying Graphs

graph data model-the pre-dominant data model adopted by modern graph database systems. We aim especially to give a coherent and in-depth;

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