An Introduction To Grids Graphs And Networks

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An Introduction to Grids, Graphs, and Networks

Author : C. Pozrikidis
Publisher : Oxford University Press
ISBN 13 : 0199996733
Total Pages : 299 pages
Book Rating : 4.1/5 (999 download)

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Book Synopsis An Introduction to Grids, Graphs, and Networks by : C. Pozrikidis

Download or read book An Introduction to Grids, Graphs, and Networks written by C. Pozrikidis and published by Oxford University Press. This book was released on 2014-02-17 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Grids, Graphs, and Networks aims to provide a concise introduction to graphs and networks at a level that is accessible to scientists, engineers, and students. In a practical approach, the book presents only the necessary theoretical concepts from mathematics and considers a variety of physical and conceptual configurations as prototypes or examples. The subject is timely, as the performance of networks is recognized as an important topic in the study of complex systems with applications in energy, material, and information grid transport (epitomized by the internet). The book is written from the practical perspective of an engineer with some background in numerical computation and applied mathematics, and the text is accompanied by numerous schematic illustrations throughout. In the book, Constantine Pozrikidis provides an original synthesis of concepts and terms from three distinct fields-mathematics, physics, and engineering-and a formal application of powerful conceptual apparatuses, like lattice Green's function, to areas where they have rarely been used. It is novel in that its grids, graphs, and networks are connected using concepts from partial differential equations. This original material has profound implications in the study of networks, and will serve as a resource to readers ranging from undergraduates to experienced scientists.

Graph Representation Learning

Author : William L. William L. Hamilton
Publisher : Springer Nature
ISBN 13 : 3031015886
Total Pages : 141 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Graph Representation Learning by : William L. William L. Hamilton

Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.

Introduction to Graph Signal Processing

Author : Antonio Ortega
Publisher : Cambridge University Press
ISBN 13 : 1108640176
Total Pages : pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Introduction to Graph Signal Processing by : Antonio Ortega

Download or read book Introduction to Graph Signal Processing written by Antonio Ortega and published by Cambridge University Press. This book was released on 2022-06-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: An intuitive and accessible text explaining the fundamentals and applications of graph signal processing. Requiring only an elementary understanding of linear algebra, it covers both basic and advanced topics, including node domain processing, graph signal frequency, sampling, and graph signal representations, as well as how to choose a graph. Understand the basic insights behind key concepts and learn how graphs can be associated to a range of specific applications across physical, biological and social networks, distributed sensor networks, image and video processing, and machine learning. With numerous exercises and Matlab examples to help put knowledge into practice, and a solutions manual available online for instructors, this unique text is essential reading for graduate and senior undergraduate students taking courses on graph signal processing, signal processing, information processing, and data analysis, as well as researchers and industry professionals.

Advances in Knowledge Discovery and Data Mining

Author : Hisashi Kashima
Publisher : Springer Nature
ISBN 13 : 3031333748
Total Pages : 563 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Hisashi Kashima

Download or read book Advances in Knowledge Discovery and Data Mining written by Hisashi Kashima and published by Springer Nature. This book was released on 2023-05-26 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.

Computing and Combinatorics

Author : Hung Q. Ngo
Publisher : Springer Science & Business Media
ISBN 13 : 3642028829
Total Pages : 552 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Computing and Combinatorics by : Hung Q. Ngo

Download or read book Computing and Combinatorics written by Hung Q. Ngo and published by Springer Science & Business Media. This book was released on 2009-07-11 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume were selected for presentation at the 15th Annual InternationalComputing and CombinatoricsConference (COCOON 2009), held during July 13-15, 2009 in Niagara Falls, New York, USA. Previous meetings of this conference were held in Xian (1995), Hong Kong (1996), Shanghai (1997), Taipei(1998), Tokyo(1999), Sydney(2000), Guilin(2001), Singapore(2002), Big Sky (2003), Jeju Island (2004), Kunming (2005), Taipei (2006), Alberta (2007), and Dalian (2008). In response to the Call for Papers, 125 extended abstracts (not counting withdrawn papers) were submitted from 28 countries and regions, of which 51 were accepted. Authors of the submitted papers were from Cyprus (1), The Netherlands (1), Bulgaria (1), Israel (1), Vietnam (2), Finland (1), Puerto Rico (2), Australia (4), Norway (4), Portugal (1) Spain (2), France (16), Republic of Korea(3), Singapore(2), Italy(6), Iran, (4), Greece(7), Poland(4), Switzerland (8), Hong Kong (10), UK (12), India (7), Taiwan (18), Canada (23), China (19), Japan (39), Germany (44), and the USA (77). The submitted papers were evaluated by an international Technical P- gram Committee (TPC) consisting of Srinivas Aluru (Iowa State University, USA), Lars Arge (University of Aarhus, Denmark), Vikraman Arvind (Ins- tute of Mathematical Sciences, India), James Aspnes (Yale University, USA), Mikhail Atallah (Purdue University, USA), Gill Barequet (Technion - Israel - stitute of Technology, Israel), Michael Brudno (University of Toronto, Canada), Jianer Chen (Texas A & M, USA), Bhaskar DasGupta (University of Illinois at Chicago, USA), Anupam Gupta (Carnegie Mellon University, USA), Lane A.

Resilience Engineering

Author : Nii O. Attoh-Okine
Publisher : Cambridge University Press
ISBN 13 : 0521193494
Total Pages : 175 pages
Book Rating : 4.5/5 (211 download)

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Book Synopsis Resilience Engineering by : Nii O. Attoh-Okine

Download or read book Resilience Engineering written by Nii O. Attoh-Okine and published by Cambridge University Press. This book was released on 2016-04-04 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Along with case studies, this book presents a step-by-step approach to formulating the resilience of civil infrastructure and energy systems.

Graph Drawing

Author : Giuseppe DiBattista
Publisher : Springer Science & Business Media
ISBN 13 : 9783540639381
Total Pages : 468 pages
Book Rating : 4.6/5 (393 download)

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Book Synopsis Graph Drawing by : Giuseppe DiBattista

Download or read book Graph Drawing written by Giuseppe DiBattista and published by Springer Science & Business Media. This book was released on 1997-12-12 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the strictly refereed post-conference proceedings of the 5th International Symposium on Graph Drawing, GD'97, held in Rome, Italy, in September 1997. The 33 revised full papers and 10 systems demonstrations presented were selected from 80 submissions. The topics covered include planarity, crossing theory, three dimensional representations, orthogonal representations, clustering and labeling problems, packing problems, general methodologies, and systems and applications.

New Solutions for Smart Grids With High-Penetration Distributed Energy Resources

Author : Yang Li
Publisher : Frontiers Media SA
ISBN 13 : 2889744116
Total Pages : 186 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis New Solutions for Smart Grids With High-Penetration Distributed Energy Resources by : Yang Li

Download or read book New Solutions for Smart Grids With High-Penetration Distributed Energy Resources written by Yang Li and published by Frontiers Media SA. This book was released on 2022-02-17 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Random Graphs and Complex Networks

Author : Remco van der Hofstad
Publisher : Cambridge University Press
ISBN 13 : 110717287X
Total Pages : 341 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Random Graphs and Complex Networks by : Remco van der Hofstad

Download or read book Random Graphs and Complex Networks written by Remco van der Hofstad and published by Cambridge University Press. This book was released on 2017 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.

Domination in Graphs: Core Concepts

Author : Teresa W. Haynes
Publisher : Springer Nature
ISBN 13 : 3031094964
Total Pages : 655 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Domination in Graphs: Core Concepts by : Teresa W. Haynes

Download or read book Domination in Graphs: Core Concepts written by Teresa W. Haynes and published by Springer Nature. This book was released on 2023-04-29 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is designed to be an in-depth introduction to domination in graphs. It focuses on three core concepts: domination, total domination, and independent domination. It contains major results on these foundational domination numbers, including a wide variety of in-depth proofs of selected results providing the reader with a toolbox of proof techniques used in domination theory. Additionally, the book is intended as an invaluable reference resource for a variety of readerships, namely, established researchers in the field of domination who want an updated, comprehensive coverage of domination theory; next, researchers in graph theory who wish to become acquainted with newer topics in domination, along with major developments in the field and some of the proof techniques used; and, graduate students with interests in graph theory, who might find the theory and many real-world applications of domination of interest for masters and doctoral thesis topics. The focused coverage also provides a good basis for seminars in domination theory or domination algorithms and complexity. The authors set out to provide the community with an updated and comprehensive treatment on the major topics in domination in graphs. And by Jove, they’ve done it! In recent years, the authors have curated and published two contributed volumes: Topics in Domination in Graphs, © 2020 and Structures of Domination in Graphs, © 2021. This book rounds out the coverage entirely. The reader is assumed to be acquainted with the basic concepts of graph theory and has had some exposure to graph theory at an introductory level. As graph theory terminology sometimes varies, a glossary of terms and notation is provided at the end of the book.

Coordination of Traffic Signals in Networks and Related Graph Theoretical Problems on Spanning Trees

Author : Gregor Wünsch
Publisher : Cuvillier Verlag
ISBN 13 : 3867275793
Total Pages : 153 pages
Book Rating : 4.8/5 (672 download)

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Book Synopsis Coordination of Traffic Signals in Networks and Related Graph Theoretical Problems on Spanning Trees by : Gregor Wünsch

Download or read book Coordination of Traffic Signals in Networks and Related Graph Theoretical Problems on Spanning Trees written by Gregor Wünsch and published by Cuvillier Verlag. This book was released on 2008 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generating Random Networks and Graphs

Author : Ton Coolen
Publisher : Oxford University Press
ISBN 13 : 019101981X
Total Pages : 310 pages
Book Rating : 4.1/5 (91 download)

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Book Synopsis Generating Random Networks and Graphs by : Ton Coolen

Download or read book Generating Random Networks and Graphs written by Ton Coolen and published by Oxford University Press. This book was released on 2017-05-26 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generating random networks efficiently and accurately is an important challenge for practical applications, and an interesting question for theoretical study. This book presents and discusses common methods of generating random graphs. It begins with approaches such as Exponential Random Graph Models, where the targeted probability of each network appearing in the ensemble is specified. This section also includes degree-preserving randomisation algorithms, where the aim is to generate networks with the correct number of links at each node, and care must be taken to avoid introducing a bias. Separately, it looks at growth style algorithms (e.g. preferential attachment) which aim to model a real process and then to analyse the resulting ensemble of graphs. It also covers how to generate special types of graphs including modular graphs, graphs with community structure and temporal graphs. The book is aimed at the graduate student or advanced undergraduate. It includes many worked examples and open questions making it suitable for use in teaching. Explicit pseudocode algorithms are included throughout the book to make the ideas straightforward to apply. With larger and larger datasets, it is crucial to have practical and well-understood tools. Being able to test a hypothesis against a properly specified control case is at the heart of the 'scientific method'. Hence, knowledge on how to generate controlled and unbiased random graph ensembles is vital for anybody wishing to apply network science in their research.

Distributed Graph Algorithms for Computer Networks

Author : Kayhan Erciyes
Publisher : Springer Science & Business Media
ISBN 13 : 1447151739
Total Pages : 328 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Distributed Graph Algorithms for Computer Networks by : Kayhan Erciyes

Download or read book Distributed Graph Algorithms for Computer Networks written by Kayhan Erciyes and published by Springer Science & Business Media. This book was released on 2013-05-16 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Topics and features: introduces a range of fundamental graph algorithms, covering spanning trees, graph traversal algorithms, routing algorithms, and self-stabilization; reviews graph-theoretical distributed approximation algorithms with applications in ad hoc wireless networks; describes in detail the implementation of each algorithm, with extensive use of supporting examples, and discusses their concrete network applications; examines key graph-theoretical algorithm concepts, such as dominating sets, and parameters for mobility and energy levels of nodes in wireless ad hoc networks, and provides a contemporary survey of each topic; presents a simple simulator, developed to run distributed algorithms; provides practical exercises at the end of each chapter.

Handbook of Graphs and Networks in People Analytics

Author : Keith McNulty
Publisher : CRC Press
ISBN 13 : 100059727X
Total Pages : 266 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Handbook of Graphs and Networks in People Analytics by : Keith McNulty

Download or read book Handbook of Graphs and Networks in People Analytics written by Keith McNulty and published by CRC Press. This book was released on 2022-06-19 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Graphs and Networks in People Analytics: With Examples in R and Python covers the theory and practical implementation of graph methods in R and Python for the analysis of people and organizational networks. Starting with an overview of the origins of graph theory and its current applications in the social sciences, the book proceeds to give in-depth technical instruction on how to construct and store graphs from data, how to visualize those graphs compellingly and how to convert common data structures into graph-friendly form. The book explores critical elements of network analysis in detail, including the measurement of distance and centrality, the detection of communities and cliques, and the analysis of assortativity and similarity. An extension chapter offers an introduction to graph database technologies. Real data sets from various research contexts are used for both instruction and for end of chapter practice exercises and a final chapter contains data sets and exercises ideal for larger personal or group projects of varying difficulty level. Key features: Immediately implementable code, with extensive and varied illustrations of graph variants and layouts. Examples and exercises across a variety of real-life contexts including business, politics, education, social media and crime investigation. Dedicated chapter on graph visualization methods. Practical walkthroughs of common methodological uses: finding influential actors in groups, discovering hidden community structures, facilitating diverse interaction in organizations, detecting political alignment, determining what influences connection and attachment. Various downloadable data sets for use both in class and individual learning projects. Final chapter dedicated to individual or group project examples.

Graph Drawing and Network Visualization

Author : Patrizio Angelini
Publisher : Springer Nature
ISBN 13 : 3031222032
Total Pages : 499 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Graph Drawing and Network Visualization by : Patrizio Angelini

Download or read book Graph Drawing and Network Visualization written by Patrizio Angelini and published by Springer Nature. This book was released on 2023-01-18 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 30th International Symposium on Graph Drawing and Network Visualization, GD 2022, held in Tokyo, Japan, during September 13-16, 2022. The 25 full papers, 7 short papers, presented together with 2 invited talks, one report on graph drawing contest, and one obituary in these proceedings were carefully reviewed and selected from 70 submissions. The abstracts of 5 posters presented at the conference can be found in the back matter of the volume. The contributions were organized in topical sections as follows: properties of drawings of complete graphs; stress-based visualizations of graphs; planar and orthogonal drawings; drawings and properties of directed graphs; beyond planarity; dynamic graph visualization; linear layouts; and contact and visibility graph representations.

Deep Learning for Robot Perception and Cognition

Author : Alexandros Iosifidis
Publisher : Academic Press
ISBN 13 : 0323885721
Total Pages : 638 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Deep Learning for Robot Perception and Cognition by : Alexandros Iosifidis

Download or read book Deep Learning for Robot Perception and Cognition written by Alexandros Iosifidis and published by Academic Press. This book was released on 2022-02-04 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Graph-Theoretic Concepts in Computer Science

Author : Juraj Hromkovič
Publisher : Springer
ISBN 13 : 3540494944
Total Pages : 394 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Graph-Theoretic Concepts in Computer Science by : Juraj Hromkovič

Download or read book Graph-Theoretic Concepts in Computer Science written by Juraj Hromkovič and published by Springer. This book was released on 2005-06-28 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 24th International Workshop on Graph-Theoretic Concepts in Computer Science, WG'98, held in Smolenice Castle, Slovak Republic, in June 1998. The 30 revised full papers presented were carefully selected from a total of 61 submissions. The papers provide a wealth of new results for various classes of graphs, graph computations, graph algorithms and graph-theoretic applications in computer science.