Products related to Graph:
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Graph Learning Techniques
This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation.It begins with foundational graph theory, covering essential definitions, concepts, and var-ious types of graphs.The book bridges the gap between theory and application, equipping readers with the skills to translate theoretical knowledge into actionable solutions for complex problems.It includes practical insights into brain network analysis and the dynamics of COVID-19 spread.The guide provides a solid understanding of graphs by exploring different graph representations and the latest advancements in graph learning techniques.It focuses on diverse graph signals and offers a detailed review of state-of-the-art methodologies for analyzing these signals.A major emphasis is placed on privacy preservation, with comprehensive discussions on safeguarding sensitive information within graph structures.The book also looks forward, offering insights into emerging trends, potential challenges, and the evolving landscape of privacy-preserving graph learning.This resource is a valuable reference for advance undergraduate and postgraduate students in courses related to Network Analysis, Privacy and Security in Data Analytics, and Graph Theory and Applications in Healthcare.
Price: 44.99 £ | Shipping*: 0.00 £ -
Graph Learning Techniques
This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation.It begins with foundational graph theory, covering essential definitions, concepts, and var-ious types of graphs.The book bridges the gap between theory and application, equipping readers with the skills to translate theoretical knowledge into actionable solutions for complex problems.It includes practical insights into brain network analysis and the dynamics of COVID-19 spread.The guide provides a solid understanding of graphs by exploring different graph representations and the latest advancements in graph learning techniques.It focuses on diverse graph signals and offers a detailed review of state-of-the-art methodologies for analyzing these signals.A major emphasis is placed on privacy preservation, with comprehensive discussions on safeguarding sensitive information within graph structures.The book also looks forward, offering insights into emerging trends, potential challenges, and the evolving landscape of privacy-preserving graph learning.This resource is a valuable reference for advance undergraduate and postgraduate students in courses related to Network Analysis, Privacy and Security in Data Analytics, and Graph Theory and Applications in Healthcare.
Price: 82.99 £ | Shipping*: 0.00 £ -
Exploring Hyperrealism : Drawing and Painting Techniques
This original work introduces readers to the hyperrealist movement, a style applied to painting whose techniques aspire to photographic exactitude in drawing.From the first action before viewing the piece – the search for information and reference images – to different drawing and sculpture techniques, the book offers a step-by-step explanation of the creative process and shows readers how to illustrate in black and white and with colored pencils, how to work with watercolors and oil, how to create a trompe l’oeil and how to create a realistic looking 3D model.Readers will find all the techniques and suggestions they need to make their own hyperrealist creations, all explained in a pleasant and fun way.It is an original and creative way to introduce different drawing techniques thatwill awaken the artist inside of us all and whose results will strike most readers as surprising given the degree of realism achieved, as if they were photographs.The book includes references to contemporary artists who have used each of the techniques described, curiosities in the world of art and other tricks of the trade.
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Graph-Based Social Media Analysis
Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media.It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal processing.Supplying an overview of graph-based social media analysis, the book provides readers with a clear understanding of social media structure.It uses graph theory, particularly the algebraic description and analysis of graphs, in social media studies. The book emphasizes the big data aspects of social and digital media.It presents various approaches to storing vast amounts of data online and retrieving that data in real-time.It demystifies complex social media phenomena, such as information diffusion, marketing and recommendation systems in social media, and evolving systems.It also covers emerging trends, such as big data analysis and social media evolution. Describing how to conduct proper analysis of the social and digital media markets, the book provides insights into processing, storing, and visualizing big social media data and social graphs.It includes coverage of graphs in social and digital media, graph and hyper-graph fundamentals, mathematical foundations coming from linear algebra, algebraic graph analysis, graph clustering, community detection, graph matching, web search based on ranking, label propagation and diffusion in social media, graph-based pattern recognition and machine learning, graph-based pattern classification and dimensionality reduction, and much more. This book is an ideal reference for scientists and engineers working in social media and digital media production and distribution.It is also suitable for use as a textbook in undergraduate or graduate courses on digital media, social media, or social networks.
Price: 44.99 £ | Shipping*: 0.00 £
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Which graph is the graph of f?
The graph of f is the second graph, which is a parabola that opens upward. This can be determined because the function f(x) = ax^2 + bx + c is a quadratic function, and the second graph is a parabola, which is the graph of a quadratic function. Additionally, the fact that the parabola opens upward indicates that the coefficient a in the function f(x) = ax^2 + bx + c is positive. Therefore, the second graph is the graph of f.
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Can you make a drawing of a speed-time graph?
I'm sorry, but as a text-based AI, I am unable to create visual content like drawings. However, I can help explain how to interpret a speed-time graph or provide information about how to create one using a graphing tool or software. Let me know if you need any assistance with that.
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How do you graph a graph with fractions?
To graph a graph with fractions, you can start by plotting the x and y intercepts. If the fractions are in the form of y = mx + b, where m is the slope and b is the y-intercept, you can plot the y-intercept at the point (0, b). Then, use the slope to find another point on the line by moving up or down based on the numerator of the fraction and left or right based on the denominator. Connect the two points to create the line. If the fractions are in the form of y = ax^2 + bx + c, you can use the x-intercepts and vertex to plot the graph.
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Would the graph of the third derivative still be a straight line if we were to continue drawing the red graph?
No, the graph of the third derivative would not necessarily be a straight line if we were to continue drawing the red graph. The third derivative represents the rate of change of the second derivative, so it could exhibit more complex behavior than a straight line. Depending on the behavior of the second derivative, the third derivative graph could be curved or have other non-linear features.
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Exploring Graphs with Elixir : Connect Data with Native Graph Libraries and Graph Databases
Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset.Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data.Add Elixir, with its awesome power of concurrency, and you'll soon be mastering data networks.Learn how different graph models can be accessed and used from within Elixir and how you can build a robust semantics overlay on top of graph data structures.We'll start from the basics and examine the main graph paradigms.Get ready to embrace the world of connected data!Graphs provide an intuitive and highly flexible means for organizing and querying huge amounts of loosely coupled data items.These data networks, or graphs in math speak, are typically stored and queried using graph databases.Elixir, with its noted support for fault tolerance and concurrency, stands out as a language eminently suited to processing sparsely connected and distributed datasets. Using Elixir and graph-aware packages in the Elixir ecosystem, you'll easily be able to fit your data to graphs and networks, and gain new information insights.Build a testbed app for comparing native graph data with external graph databases.Develop a set of applications under a single umbrella app to drill down into graph structures.Build graph models in Elixir, and query graph databases of various stripes - using Cypher and Gremlin with property graphs and SPARQL with RDF graphs.Transform data from one graph modeling regime to another.Understand why property graphs are especially good at graph traversal problems, while RDF graphs shine at integrating different semantic models and can scale up to web proportions. Harness the outstanding power of concurrent processing in Elixir to work with distributed graph datasets and manage data at scale. What You Need:To follow along with the book, you should have Elixir 1.10+ installed.The book will guide you through setting up an umbrella application for a graph testbed using a variety of graph databases for which Java SDK 8+ is generally required.Instructions for installing the graph databases are given in an appendix.
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QuiltGenius Design Tool Kit : Stencils, Graph Paper & Booklet to Unleash Your Creativity
Let your creativity soar with this fun, fast, and simple way to design your own quilts - no computer or software is required!Simply use the layout stencil to form the outline of your quilt with the pre-marked standard quilt sizes, or choose your dimensions with the marked grid.Mix and match 80+ stencil shapes in various sizes to put together a design with all of your favourite layouts and blocks, including squares, HSTs, QSTs, triangles, circles, Drunkard's Path quarter circles, Flying Geese, hexies, rectangles, diamonds, kites, and more!Perfect for planning quilt layouts and blocks, the QuiltGenius Design Tool Kit makes it fun to capture your unique ideas quickly and easily. Play with 80+ stencil shapes with your favourite quilt blocks; the possibilities are endless!Easy-to-follow instructions and inspiration are included in a portable booklet.
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Graph Theory and Additive Combinatorics : Exploring Structure and Randomness
Using the dichotomy of structure and pseudorandomness as a central theme, this accessible text provides a modern introduction to extremal graph theory and additive combinatorics.Readers will explore central results in additive combinatorics-notably the cornerstone theorems of Roth, Szemerédi, Freiman, and Green-Tao-and will gain additional insights into these ideas through graph theoretic perspectives.Topics discussed include the Turán problem, Szemerédi's graph regularity method, pseudorandom graphs, graph limits, graph homomorphism inequalities, Fourier analysis in additive combinatorics, the structure of set addition, and the sum-product problem.Important combinatorial, graph theoretic, analytic, Fourier, algebraic, and geometric methods are highlighted.Students will appreciate the chapter summaries, many figures and exercises, and freely available lecture videos on MIT OpenCourseWare.Meant as an introduction for students and researchers studying combinatorics, theoretical computer science, analysis, probability, and number theory, the text assumes only basic familiarity with abstract algebra, analysis, and linear algebra.
Price: 54.99 £ | Shipping*: 0.00 £ -
Stitch, Fibre, Metal & Mixed Media : Inspiration, Projects & Techniques for Textile Artists
Alysn Midgelow-Marsden shows how to use both textile-based and mixed media techniques to create beautiful artworks using metal in the form of shim, foil and woven fabric alongside many other materials.She shares her expertise in an inspiring variety of techniques from free machine stitching to gilding, embossing, needle felting, beading, printing, appliqué, making stitched foil fabric and using dry decal transfer images. There are seven beautiful projects to inspire and instruct textile artists everywhere, including a lampshade, bauble pods, decorative panels and a tablet cover.Artists can take inspiration from the individual surfaces that make up the pieces, the completed projects, and from the developments from each project, which have full, instructive captions.This is an invaluable resource for textile artists looking for new and beautiful ideas. This book was previously published as part of the Textile Artist series.
Price: 12.99 £ | Shipping*: 3.99 £
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Can you help me with integral calculus, especially with drawing the graph?
Of course! I can help you with integral calculus and drawing graphs. Just provide me with the function or equation you need help with, and I can guide you through the process of finding the integral and sketching the graph. Feel free to ask any specific questions you have, and I'll do my best to assist you.
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How can one recognize the function graph from the derivative graph?
To recognize the function graph from the derivative graph, one can look for key features such as peaks and valleys in the derivative graph, which correspond to zeros or extrema in the function graph. Additionally, the derivative graph crossing the x-axis indicates where the function graph has a maximum or minimum point. The derivative graph also helps identify where the function graph is increasing or decreasing by observing the positive or negative values of the derivative. By analyzing these features, one can infer the behavior and shape of the original function graph.
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What is the English translation for 'graph stretching' and 'graph compressing'?
The English translation for 'graph stretching' is to increase the size or scale of a graph, making it appear larger or more spread out. On the other hand, 'graph compressing' refers to reducing the size or scale of a graph, making it appear smaller or more condensed. These terms are commonly used in mathematics and data visualization to describe the manipulation of the dimensions of a graph.
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What is a graph?
A graph is a mathematical structure that consists of a set of vertices (nodes) connected by edges (links). It is used to represent relationships between different entities. Graphs are widely used in various fields such as computer science, social networks, transportation systems, and biology to model and analyze complex systems. They can be directed (edges have a specific direction) or undirected (edges have no specific direction).
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