Tag: Graph

Free Download Algebraic Structures and Graph Theory by Irina Cristea, Hashem Bordbar
English | PDF | 2023 | 282 Pages | ISBN : 3036584404 | 4.2 MB
Interconnections between graph theory and algebraic structure theory have always led to innovative solutions to problems in both areas and new research topics in Mathematics and other scientific fields. This reprint aims to emphasize the new theoretical aspects and practical applications of these two research areas. It contains 18 articles selected for publication in the Special Issue "Algebraic Structures and Graph Theory," printed by the MDPI journal Mathematics.

Free Download Graph-Powered Analytics and Machine Learning with TigerGraph
by D, Victor Lee Ph.;Nguyen, Phuc Kien;Thomas, Alexander;
English | 2023 | ISBN: 1098106652 | 317 pages | True PDF | 18.65 MB
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.

Free Download Graph Databases: Applications on Social Media Analytics and Smart Cities
by Christos Tjortjis
English | 2023 | ISBN: 103202478X | 191 pages | True PDF | 12.84 MB
With social media producing such huge amounts of data, the importance of gathering this rich data, often called "the digital gold rush", processing it and retrieving information is vital. This practical book combines various state-of-the-art tools, technologies and techniques to help us understand Social Media Analytics, Data Mining and Graph Databases, and how to better utilize their potential. Graph Applications on Social Media Analytics and Smart Cities reviews social media analytics with examples using real-world data. It describes data mining tools for optimal information retrieval; how to crawl and mine data from Twitter; and the advantages of Graph Databases. The book is meant for students, academicians, developers and simple general users involved with Data Science and Graph Databases to understand the notions, concepts, techniques, and tools necessary to extract data from social media, which will aid in better information retrieval, management and prediction.

Free Download Concepts and Techniques of Graph Neural Networks
by Kumar Vinod
English | 2023 | ISBN: 1668469030 | 267 pages | True PDF EPUB | 35.82 MB
Recent advancements in graph neural networks have expanded their capacities and expressive power. Furthermore, practical applications have begun to emerge in a variety of fields including recommendation systems, fake news detection, traffic prediction, molecular structure in chemistry, antibacterial discovery physics simulations, and more. As a result, a boom of research at the juncture of graph theory and deep learning has revolutionized many areas of research. However, while graph neural networks have drawn a lot of attention, they still face many challenges when it comes to applying them to other domains, from a conceptual understanding of methodologies to scalability and interpretability in a real system.

Free Download Applied Graph Theory : An Introduction with Graph Optimization and Algebraic Graph Theory (304 Pages)
by Christopher Griffin
English | 2023 | ISBN: 9811273103 | 305 pages | True PDF | 9.02 MB
This book serves as an introduction to graph theory and its applications. It is intended for a senior undergraduate course in graph theory but is also appropriate for beginning graduate students in science or engineering. The book presents a rigorous (proof-based) introduction to graph theory while also discussing applications of the results for solving real-world problems of interest. The book is divided into four parts. Part 1 covers the combinatorial aspects of graph theory including a discussion of common vocabulary, a discussion of vertex and edge cuts, Eulerian tours, Hamiltonian paths and a characterization of trees. This leads to Part 2, which discusses common combinatorial optimization problems. Spanning trees, shortest path problems and matroids are all discussed, as are maximum flow problems. Part 2 ends with a discussion of graph coloring and a proof of the NP-completeness of the coloring problem. Part 3 introduces the reader to algebraic graph theory, and focuses on Markov chains, centrality computation (e.g., eigenvector centrality and page rank), as well as spectral graph clustering and the graph Laplacian. Part 4 contains additional material on linear programming, which is used to provide an alternative analysis of the maximum flow problem. Two appendices containing prerequisite material on linear algebra and probability theory are also provided.

Free Download The Ultimate Graph Neural Network Course
Published 8/2023
Created by The3rd AI
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 25 Lectures ( 2h 18m ) | Size: 972 MB

Free Download Learn To Use Shader Graph To Create Awesome Effects In Unity
Published 8/2023
Created by James Doyle
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 58 Lectures ( 6h 3m ) | Size: 3.47 GB

Free Download Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data by Victor Lee Ph.D, Phuc Kien Nguyen, Alexander Thomas
English | August 29th, 2023 | ISBN: 1098106652 | 290 pages | True EPUB | 16.85 MB
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.

Free Download The Boost Graph Library: User Guide and Reference Manual [With CDROM] By Siek, Jeremy G;Lumsdaine, Andrew
2001 | 352 Pages | ISBN: 0201729148 | PDF | 3 MB
The first complete tutorial and reference on the Boost Graphic Library (BGL) — by its creators — New graph data structures and algorithms that can help experienced C++ developers save time and dramatically improve code reliability and performance.– Practical new insights into generic programming — techniques you can use to build your own libraries– CD-ROM includes complete electronic version of the book, in hyperlinked, searchable PDF format, as well as the BGL itself.The Boost Graphic Library (BGL) gives experienced C++ developers high quality implementations of a wide range of graph data structures and algorithms — helping them save time that would otherwise have been spent on developing and debugging. Now, the BGL’s creators offer a complete tutorial and reference designed to help developers get results with the BGL quickly. They also offer practical, hard-to-find guidance on generic programming that can help developers build their own software development libraries. For practicing programmers, the book introduces high quality implementations of graph data structures and algorithms that deliver outstanding efficiency and performance, and presents the BGL’s flexible interface, which enables programmers to apply graph algorithms in settings where a graph may exist only implicitly. For all intermediate-to-advanced C++ programmers.

Free Download Graph Data Modeling in Python: A practical guide to curating, analyzing, and modeling data with graphs by Gary Hutson, Matt Jackson
English | June 30, 2023 | ISBN: 1804618039 | 236 pages | MOBI | 4.31 Mb
Learn how to transform, store, evolve, refactor, model, and create graph projections using the Python programming language