Tag: Graph

July 20, 2023

Graph Data Processing with Cypher

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Free Download Graph Data Processing with Cypher: A practical guide to building graph traversal queries using the Cypher syntax on Neo4j by Ravindranatha Anthapu
English | December 16, 2022 | ISBN: 1804611077 | 332 pages | MOBI | 25 Mb
Get acquainted with Cypher in a guided manner quickly and learn how to query the graph databases with efficient and performant queries

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July 19, 2023

Graph Algorithms for Data Science (MEAP V08)

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Free Download Graph Algorithms for Data Science (MEAP V08)
English | 2023 | ISBN: 9781617299469 | 386 Pages | PDF EPUB | 22 MB
Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It’s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You’ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don’t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects.

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July 18, 2023

Discrete Mathematics With Graph Theory

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Free Download Discrete Mathematics With Graph Theory
English | 2023 | ISBN: 3031213203 | 657 Pages | PDF (True) | 32 MB
This book is designed to meet the requirement of undergraduate and postgraduate students pursuing computer science, information technology, mathematical science, and physical science course. No formal prerequisites are needed to understand the text matter except a very reasonable background in college algebra. The text contains in-depth coverage of all major topics proposed by professional institutions and universities for a discrete mathematics course. It emphasizes on problem-solving techniques, pattern recognition, conjecturing, induction, applications of varying nature, proof technique, algorithmic development, algorithm correctness, and numeric computations. A sufficient amount of theory is included for those who enjoy the beauty in development of the subject and a wealth of applications as well as for those who enjoy the power of problem-solving techniques.

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July 3, 2023

Graph Neural Networks in Action (MEAP V06)

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Free Download Graph Neural Networks in Action (MEAP V06)
English | 2023 | ISBN: 9781617299056 | 300 Pages | PDF EPUB | 38 MB
Graph Neural Networks in Action teaches you to create powerful deep learning models for working with graph data. You’ll learn how to both design and train your models, and how to develop them into practical applications you can deploy to production. Go hands-on and explore relevant real-world projects as you dive into graph neural networks perfect for node prediction, link prediction, and graph classification. Inside this practical guide, you’ll explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code.

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July 2, 2023

Graph Algorithms for Data Science (MEAP V07)

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Free Download Graph Algorithms for Data Science (MEAP V07)
English | 2023 | ISBN: 9781617299469 | 386 Pages | PDF EPUB | 18 MB
Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It’s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You’ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don’t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects.

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June 25, 2023

Advanced Graph Theory

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Free Download Advanced Graph Theory
English | 2023 | ISBN: 3031225619 | 294 Pages | PDF (True) | 12 MB
The present book is based on the curriculum of undergraduate and postgraduate courses of universities in India and abroad. Every effort is made to present the various topics in the theory of graphs in a logical manner with adequate historical background and include suitable figures to illustrate concepts and results ideally. The formidable exercises, neither easy nor straightforward, are bold faced and highlighted. The theory portion of each chapter is studied thoroughly as it helps solve many of the problems with comparative ease. Selected material from this book is used for a semester course on graph theory, while the entire book serves for a whole session course.

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