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Graph Sampling

sampling. Or, one may be interested in the structure of the connections, in terms of the corresponding graph properties or parameters, such as when;

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Link Reversal Algorithms

. The common thread in these algorithms is that the distributed system is viewed as a graph, with vertices representing the computing nodes and;

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Link Reversal Algorithms

. The common thread in these algorithms is that the distributed system is viewed as a graph, with vertices representing the computing nodes and;

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Graph Polynomials

This book covers both theoretical and practical results for graph polynomials. Graph polynomials have been developed for measuring;

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Graph Polynomials

This book covers both theoretical and practical results for graph polynomials. Graph polynomials have been developed for measuring;

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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

Interacting with graphs using queries has emerged as an important research problem for real-world applications that center on large graph;

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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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Computing and Combinatorics

-organized workshop on computational social networks (CSoNet 2014) where 8 papers were accepted. The papers cover the following topics: sampling and;

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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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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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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

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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Graph Databases in Action

Graph Databases in Action teaches readers everything they need to know to begin building and running applications powered by graph;

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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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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

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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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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Quantitative Graph Theory

The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications;

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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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Quantitative Graph Theory

The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications;

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Graph Databases

Discover how graph databases can help you manage and query highly connected data. With this practical book, you'll learn how to design and;

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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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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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