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Advances in Graph Neural Networks, Shi


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Автор: Shi
Название:  Advances in Graph Neural Networks
ISBN: 9783031161735
Издательство: Springer
Классификация:



ISBN-10: 3031161734
Обложка/Формат: Hardback
Страницы: 198
Вес: 0.54 кг.
Дата издания: 01.12.2022
Серия: Synthesis Lectures on Data Mining and Knowledge Discovery
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 35 tables, color; 36 illustrations, color; 5 illustrations, black and white; xiv, 198 p. 41 illus., 36 illus. in color.
Размер: 240 x 168
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and definitions in graph representation learning and discusses the development of advanced graph representation learning methods with a focus on graph neural networks. The book providers researchers and practitioners with an understanding of the fundamental issues as well as a launch point for discussing the latest trends in the science. The authors emphasize several frontier aspects of graph neural networks and utilize graph data to describe pairwise relations for real-world data from many different domains, including social science, chemistry, and biology. Several frontiers of graph neural networks are introduced, which enable readers to acquire the needed techniques of advances in graph neural networks via theoretical models and real-world applications.
Дополнительное описание: Introduction.- Fundamental Graph Neural Networks.- Homogeneous Graph Neural Networks.- Heterogeneous Graph Neural Networks.- Dynamic Graph Neural Networks.- Hyperbolic Graph Neural Networks.- Distilling Graph Neural Networks.- Platforms and Practice of Gr



Deep learning on graphs

Автор: Ma, Yao (michigan State University) Tang, Jiliang (michigan State University)
Название: Deep learning on graphs
ISBN: 1108831745 ISBN-13(EAN): 9781108831741
Издательство: Cambridge Academ
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Цена: 7126.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering pooling, robustness, and scalability and then demonstrates applications in NLP, data mining, vision and healthcare.

Handbook of Research on Advanced Applications of Graph Theory in Modern Society

Автор: Madhumangal Pal, Sovan Samanta, Anita Pal
Название: Handbook of Research on Advanced Applications of Graph Theory in Modern Society
ISBN: 1522593802 ISBN-13(EAN): 9781522593805
Издательство: Mare Nostrum (Eurospan)
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Цена: 32987.00 р.
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Описание: In the world of mathematics and computer science, technological advancements are constantly being researched and applied to ongoing issues. Setbacks in social networking, engineering, and automation are themes that affect everyday life, and researchers have been looking for new techniques in which to solve these challenges. Graph theory is a widely studied topic that is now being applied to real-life problems.

Advanced Applications of Graph Theory in Modern Society is an essential reference source that discusses recent developments on graph theory, as well as its representation in social networks, artificial neural networks, and many complex networks. The book aims to study results that are useful in the fields of robotics and machine learning and will examine different engineering issues that are closely related to fuzzy graph theory. Featuring research on topics such as artificial neural systems and robotics, this book is ideally designed for mathematicians, research scholars, practitioners, professionals, engineers, and students seeking an innovative overview of graphic theory.

Switching Networks: Recent Advances

Автор: Ding-Zhu Du; Hung Q. Ngo
Название: Switching Networks: Recent Advances
ISBN: 079236953X ISBN-13(EAN): 9780792369530
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Contains various developments in switching networks and applications, including classic topics, such as nonblocking and Benes conjecture, and different directions, such as optical switching networks and applications in VLSI designs. This title provides the advances for researchers in computer networks and applied mathematics.

Mathematical Aspects of Spin Glasses and Neural Networks

Автор: Anton Bovier; Pierre Picco
Название: Mathematical Aspects of Spin Glasses and Neural Networks
ISBN: 1461286530 ISBN-13(EAN): 9781461286530
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The radical press of the Victorian era fostered daring literary experiments that helped shape mainstream literature. This book adds significantly to the study of Victorian literary culture by exploring the interplay between canonical social problem novels and journalism and fiction appearing in the periodical press associated with working-class protest.

Maximum-Entropy Networks

Автор: Tiziano Squartini; Diego Garlaschelli
Название: Maximum-Entropy Networks
ISBN: 3319694367 ISBN-13(EAN): 9783319694368
Издательство: Springer
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Цена: 7685.00 р.
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Описание: A final chapter offers various overarching remarks and take-home messages.By requiring no prior knowledge of network theory, the book targets a broad audience ranging from PhD students approaching these topics for the first time to senior researchers interested in the application of advanced network techniques to their field.

Graphs and Networks

Автор: Kingan
Название: Graphs and Networks
ISBN: 111893718X ISBN-13(EAN): 9781118937181
Издательство: Wiley
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Цена: 13614.00 р.
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Описание:

A unique blend of graph theory and the modern applications of networks for students and data science professionals

In Graphs and Networks, accomplished mathematician and author Dr. Sandra R. Kingan delivers up to date and topical coverage of graph theory while tying in the various real-world applications of social, telecommunication, and computer networks. It includes topics like Tutte's Wheels Theorem, Seymour's Splitter Theorem, and decomposition theorems, and offers access to an accompanying website containing a growing collection of papers that illustrate the practical applications and techniques of graph theory to network science.

Dr. Kingan has extensively classroom tested the text and includes an Instructor's Manual available via written request to the publisher. The book offers practical homework problems to reinforce the presented concepts and limits its use of proof-based, mathematically rigorous problems to advanced topical chapters in Part III. You'll discover a distillation of elements common to large graphs and presentation of particular graphs as examples of the underlying mathematics.

Readers will also benefit from the inclusion of:

  • A thorough introduction to basic definitions in graph and network theory, as well as isomorphism, graph substructures, and graph operations
  • An exploration of graph statistics, tress, degree sequences, Eulerian circuits, Hamiltonian cycles, planar graphs, and colorings
  • A practical discussion of matchings and coverings, graph algorithms, network algorithms, random graphs, spectral graph theory, centrality measures, and network flows
  • A concise examination of network reliability, extremal graph theory, higher connectivity, excluded minors, and k-sums

Perfect for upper-undergraduate students in graph theory and network science courses or as a self-study text for graduate level students, Graphs and Networks will also earn a place in the libraries of network scientists and graph theorists seeking an insightful reference for the mathematics underlying network science.

Multiplex Networks

Автор: Cozzo
Название: Multiplex Networks
ISBN: 3319922548 ISBN-13(EAN): 9783319922546
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book provides the basis of a formal language and explores its possibilities in the characterization of multiplex networks. A methodology to generalize monoplex structural metrics to multiplex networks is also presented so that the reader will be able to generalize other metrics of interest in a systematic way.

Neutrosophic Graph Theory and Algorithms

Автор: Florentin Smarandache, Said Broumi
Название: Neutrosophic Graph Theory and Algorithms
ISBN: 1799813134 ISBN-13(EAN): 9781799813132
Издательство: Mare Nostrum (Eurospan)
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Цена: 35897.00 р.
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Описание: Graph theory is a specific concept that has numerous applications throughout many industries. Despite the advancement of this technique, graph theory can still yield ambiguous and imprecise results. In order to cut down on these indeterminate factors, neutrosophic logic has emerged as an applicable solution that is gaining significant attention in solving many real-life decision-making problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistency, and indeterminacy. However, empirical research on this specific graph set is lacking. Neutrosophic Graph Theory and Algorithms is a collection of innovative research on the methods and applications of neutrosophic sets and logic within various fields including systems analysis, economics, and transportation. While highlighting topics including linear programming, decision-making methods, and homomorphism, this book is ideally designed for programmers, researchers, data scientists, mathematicians, designers, educators, researchers, academicians, and students seeking current research on the various methods and applications of graph theory.

Advances in Applied Combinatorics

Автор: Stefano Spezia
Название: Advances in Applied Combinatorics
ISBN: 1774073528 ISBN-13(EAN): 9781774073520
Издательство: Mare Nostrum (Eurospan)
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Цена: 25502.00 р.
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Описание: Explores binomial coefficients, permutations, combinational proofs, graph theory, derangements, partitions, linear recurrences, graph algorithms and permutation groups. This book also discusses fractional sums and differences, harmonic numbers and cubed binomial coefficients, recursive algorithms, linear recurrences and fibonacci numbers.

Graph Theory and Interconnection Networks

Автор: Hsu, Lih-Hsing , Lin, Cheng-Kuan
Название: Graph Theory and Interconnection Networks
ISBN: 0367386771 ISBN-13(EAN): 9780367386771
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание: The advancement of large scale integrated circuit technology has enabled the construction of complex interconnection networks. Graph theory provides a fundamental tool for designing and analyzing such networks. Graph Theory and Interconnection Networks provides a thorough understanding of these interrelated topics. After a brief introduction to graph terminology, this book presents well-known interconnection networks as examples of graphs, followed by in-depth coverage of Hamiltonian graphs. Different types of problems illustrate the wide range of available methods for solving such problems. The text also explores recent progress on the diagnosability of graphs under various models.

Spatial Networks: A Complete Introduction: From Graph Theory and Statistical Physics to Real-World Applications

Автор: Barthelemy Marc
Название: Spatial Networks: A Complete Introduction: From Graph Theory and Statistical Physics to Real-World Applications
ISBN: 3030941051 ISBN-13(EAN): 9783030941055
Издательство: Springer
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Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a complete introduction into spatial networks.

Mathematics of finite networks

Автор: Rudolph, Michael
Название: Mathematics of finite networks
ISBN: 1107134439 ISBN-13(EAN): 9781107134430
Издательство: Cambridge Academ
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Цена: 9502.00 р.
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Описание: The study of large-scale features of a network often requires approximations that may result in significant divergence from the finite scales of real applications. This book offers an approach to overcoming these limitations by introducing an exact, non-asymptotic set of tools combining graph theory with operator calculus.


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