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Complex Networks

networks, as well as current theory and research. They discuss spectra and signal processing in complex networks, graph signal processing;

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Graph Spectra for Complex Networks

the theory of graph spectra and its applications to the study of complex networks. Covering a range of types of graphs and topics important to;

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Graph Spectra for Complex Networks

theory of graph spectra and its applications to the study of complex networks. Covering a range of types of graphs and topics important to the;

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Complex Graphs and Networks

Through examples of large complex graphs in realistic networks, research in graph theory has been forging ahead into exciting new;

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Algorithms and Models for the Web Graph

This book constitutes the refereed proceedings of the 10th International Workshop on Algorithms and Models for the Web Graph, WAW 2013;

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Complex Networks

. Providing a focused scope which consists of graph theory and algorithms for complex networks, the book identifies and describes a repertoire;

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Complex Networks

. Providing a focused scope which consists of graph theory and algorithms for complex networks, the book identifies and describes a repertoire;

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Algorithms and Models for the Web Graph

This book constitutes the proceedings of the 13th International Workshop on Algorithms and Models for the Web Graph, WAW 2016, held;

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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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Intro To The Theory Of Graph Spectra

the eigenvalues and structure of a graph. Designed as an introductory text for graduate students, or anyone using the theory of graph spectra;

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An Introduction To The Theory Of Graph Spectra

the eigenvalues and structure of a graph. Designed as an introductory text for graduate students, or anyone using the theory of graph spectra;

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Algorithms and Models for the Web Graph

This book constitutes the proceedings of the 14th International Workshop Algorithms and Models for the Web Graph, WAW 2017, held in Toronto;

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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

interpretability, GNN has recently become a widely applied graph analysis tool. Variants for different graph types and advanced training methods are;

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Algorithms and Models for the Web Graph

This book constitutes the refereed proceedings of the 11th International Workshop on Algorithms and Models for the Web Graph, WAW 2014;

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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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Creativity in Load-Balance Schemes for Multi/Many-Core Heterogeneous Graph Computing

''This book explores the need for HPC computing in network science & network science, core kernels for complex network analysis;

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Statistical and Machine Learning Approaches for Network Analysis

for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on;

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Spectra of Graphs

This book gives an elementary treatment of the basic material about graph spectra, both for ordinary, and Laplace and Seidel spectra. The;

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Algorithms and Models for the Web Graph

This book constitutes the refereed proceedings of the 9th International Workshop on Algorithms and Models for the Web-Graph, WAW 2012, held;

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Analysis of Complex Networks

Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research;

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Synchronization In Complex Networks Of Nonlinear Dynamical Systems

This book brings together two emerging research areas: synchronization in coupled nonlinear systems and complex networks, and study;

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Biological Network Analysis

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene;

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Graph Theory Applications in Network Security

. Unfortunately, it is also amongst the most complex topics to understand and apply. In this paper, we review some of the key applications of graph theory;

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An Atlas of Edge-Reversal Dynamics

reveals very clearly the emergence of complex dynamic behavior from very simple transition rules. As such, SER provides the opportunity for the;

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An Atlas of Edge-Reversal Dynamics

reveals very clearly the emergence of complex dynamic behavior from very simple transition rules. As such, SER provides the opportunity for the;

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