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Complex Graphs and Networks

first principles the universal and ubiquitous coherence in the structure of these realistic but complex networks? In order to analyze these;

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Machine Learning in Social Networks

interest in understanding complex systems in different domains including health, education, agriculture and transportation. Such complex systems;

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Graph Theory and Interconnection Networks

The advancement of large scale integrated circuit technology has enabled the construction of complex interconnection networks. Graph theory;

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Graph Theory and Interconnection Networks

The advancement of large scale integrated circuit technology has enabled the construction of complex interconnection networks. Graph theory;

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Graph Spectra for Complex Networks

and biologically engineered molecules. Because any complex network can be represented by a graph, and therefore in turn by a matrix, graph;

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Graph Spectra for Complex Networks

and biologically engineered molecules. Because any complex network can be represented by a graph, and therefore in turn by a matrix, graph;

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Algorithms and Models for the Web Graph

algorithms and applications that exploit these graphs; graph-theoretic and algorithmic aspects of related complex networks; social networks, citation;

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Random Graphs and Complex Networks

, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity;

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Algorithms and Models for the Web Graph

-theoretic and algorithmic aspects of related complex networks, including social networks, citation networks, biological networks, molecular networks;

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Beyond Planar Graphs

This book is the first general and extensive review on the algorithmics and mathematical results of beyond planar graphs. Most real-world;

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On Uncertain Graphs

, thus, more expensive over uncertain graphs. Moreover, various complex queries and analytics are also emerging over uncertain networks, such as;

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Introduction to Graph Neural Networks

Graphs are useful data structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints;

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Introduction to Graph Neural Networks

structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints, controlling traffic networks, and;

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Graphs and Networks

Graphs and Networks A unique blend of graph theory and network science for mathematicians and data science professionals alike;

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Optimization Algorithms for Networks and Graphs

A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be;

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Optimization Algorithms for Networks and Graphs

A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be;

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Graph Mining

network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks;

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Computational Ecology: Graphs, Networks And Agent-based Modeling

Graphs, networks and agent-based modeling are the most thriving and attracting sciences used in ecology and environmental sciences. As such;

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Bayesian Networks and Decision Graphs

This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical;

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Graphs and Networks

This book concerns the use of graphs for the simulation and representation of transport networks. Its aim is to cover networks in both;

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Symmetries of Nonlinear PDEs on Metric Graphs and Branched Networks

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New Frontiers in Mining Complex Patterns

Complex Patterns, NFMCP 2013, held in conjunction with ECML/PKDD 2013 in Prague, Czech Republic, in September 2013. The 16 revised full papers;

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Community Search over Big Graphs

, biological, collaboration, and communication networks. Recently, community search over graphs has attracted significantly increasing attention;

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Probability on Trees and Networks

, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete;

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Probability on Trees and Networks

, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete;

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Generating Random Networks and Graphs

Generating random networks efficiently and accurately is an important challenge for practical applications, and an interesting question for;

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Spectral Clustering And Biclustering

Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between;

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