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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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Mathematical Foundations and Applications of Graph Entropy

the first to cover the recently established Quantitative Graph Theory. An excellent international team of editors and contributors provides an;

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Visualizing Graph Data

. Visualizing these graphs makes it possible to literally see the connections. The graph model consists of data elements, called nodes, and;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 12th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern;

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Human Interaction with Graphs

data. Given the syntactic complexity of graph query languages (e.g., SPARQL, Cypher), visual graph query interfaces make it easy for non;

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

institutions and various industries, such as pharmaceutical companies, agricultural businesses, and financial organizations. Choose the Proper Graph;

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

various industries, such as pharmaceutical companies, agricultural businesses, and financial organizations. Choose the Proper Graph Formats;

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Chromatic Graph Theory

Beginning with the origin of the four color problem in 1852, the field of graph colorings has developed into one of the most popular areas;

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Reducibility of Graphs and Digraphs

Reducibility of Graphs is one of the importent subject in the restrection problem in Graph Theory.In fact the deletion of vertices(edges;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern;

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

Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data;

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Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction

This book constitutes the refereed proceedings of the 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, held;

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Graph Data Mining

to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present;

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Querying Graphs

Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary;

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SAS/Graph

Robert Allison's SASGRAPH: Beyond the Basics collects examples that demonstrate a variety of techniques you can use to create custom;

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Large scale Graph Analysis System Algorithm and Optimization

scalable advanced graph algorithms - the subgraph enumeration, cohesive subgraph detection, and graph extraction algorithms. This book;

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Large scale Graph Analysis System Algorithm and Optimization

scalable advanced graph algorithms - the subgraph enumeration, cohesive subgraph detection, and graph extraction algorithms. This book;

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Chromatic Graph Theory

With Chromatic Graph Theory, Second Edition, the authors present various fundamentals of graph theory that lie outside of graph colorings;

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Chromatic Graph Theory

With Chromatic Graph Theory, Second Edition, the authors present various fundamentals of graph theory that lie outside of graph colorings;

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Algebraic Graph Algorithms

This textbook discusses the design and implementation of basic algebraic graph algorithms, and algebraic graph algorithms for complex;

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Bridging The Gap Between Graph Edit Distance And Kernel Machines

In graph-based structural pattern recognition, the idea is to transform patterns into graphs and perform the analysis and recognition;

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Handbook of Graph Grammars and Computing by Graph Transformation

Graph grammars originated in the late 60s, motivated by considerations about pattern recognition and compiler construction. Since then the;

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Graph Kernels

Among the data structures commonly used in machine learning, graphs are arguably one of the most general. Graphs allow the modelling;

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Handbook Of Graph Grammars And Computing By Graph Transformation - Volume 2

Graph grammars originated in the late 60s, motivated by considerations about pattern recognition and compiler construction. Since then, the;

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The Harary Index of a Graph

This is the first book to focus on the topological index, the Harary index, of a graph, including its mathematical properties, chemical;

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Graph Representation Learning

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry;

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Graph Dynamics

Study of graph operators or graph-valued functions such as the line graph, the clique graph, the complement, and powers, raises several;

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