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Hybrid Graph Theory and Network Analysis

aspects of network analysis. This approach is called here hybrid graph theory. This is essentially a vertex-independent view of graphs naturally;

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Cambridge Tracts in Theoretical Computer Science

aspects of network analysis. This approach is called here hybrid graph theory. This is essentially a vertex-independent view of graphs naturally;

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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

theory in architectural analysis; Miesian intersections and comparing and evaluating graph theory approaches to architectural spatial analysis;

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Quantitative Graph Theory

distance) Graph measures to characterize graphs quantitatively Applications of graph measures in social network analysis and other;

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Quantitative Graph Theory

distance) Graph measures to characterize graphs quantitatively Applications of graph measures in social network analysis and other;

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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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Graph Analysis & Visualization

Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and;

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Graph Representation Learning

, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation;

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Graph-Based Representations in Pattern Recognition

analysis, and graph theory. They cover topics such as graph edit distance, graph matching, machine learning for graph problems, network and graph;

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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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Brain Network Analysis

This tutorial reference serves as a coherent overview of various statistical and mathematical approaches used in brain network analysis;

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

-balance schemes for heterogeneous graph processing, and trends and challenges in large-scale HPC network analysis''--;

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Graph Drawing and Network Visualization

This book constitutes the refereed proceedings of the 27th International Symposium on Graph Drawing and Network Visualization, GD 2019;

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Graph-Based Social Media Analysis

, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal;

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Python for Graph and Network Analysis

This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming;

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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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Guide to Graph Algorithms

comparative analysis of sequential, parallel and distributed graph algorithms - including algorithms for big data - and an investigation into the;

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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 Networks

of complex computer networks and graph signal processing systems. The authors cover both the fundamental concepts underlying graph theory and complex;

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Data Structures and Network Algorithms

and especially in graph theory, but also on the development of new data structures and new techniques for analyzing algorithms. Four classical;

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Social Network Analysis Applied to Team Sports Analysis

Explaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches;

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Graph Drawing and Network Visualization

This book constitutes revised selected papers from the 24th International Symposium on Graph Drawing and Network Visualization, GD 2016;

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Networks and Systems

node equations, network analysis and network theorems, signals and its properties, graph theory and its application in circuit analysis;

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Mathematical Foundations of Network Analysis

precisely, and use them in the development of our network analysis, an elaborate mathematical structure is introduced, involving concepts of graph;

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Web Information Systems Engineering WISE 2020

organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph;

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