Download or read book Graph Paper Notebook written by Joyful Journals and published by . This book was released on 2019-07-25 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: 4x4 Graph Paper Composition Notebook - Quad Ruled (200 Pages - Larger Than Most!) Ideal for engineering, architects, calculus, algebra, creating blueprints, capturing data, 2D graphs, and more! This premium, high-quality graph grid composition notebook is perfect for math students, engineers, architects, artists, etc. There is plenty of room inside for drawing, writing notes, journaling, doodling, list making, creative writing, school notes, creating blueprints, and capturing ideas. 200 graphing paper pages Grid ruled on both sides with thin gray lines 4 squares per inch (4 x 4 quad ruled paper) Perfect for architects, students, artists, and engineers High-quality matte cover for a professional finish Large size at 8.5 x 11 inches (21.59 x 27.94 cm) This simple and durable graphing notebook can be used as a notebook, journal, diary, or composition notebook. Perfect for algebra, calculus, math students, architects, chemistry, engineering, artists, and more! This composition paperback notebook is 8.5 x 11 inches (21.59 x 27.94 cm) with a soft, matte cover and has 200 quad ruled pages. Perfect for kids to adults. This is the ultimate student notebook. Scroll up and click 'add to cart' to grab your composition graph paper notebook today!

Download or read book Graph Paper Notebook written by Nova Press and published by . This book was released on 2019-07-17 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: A simple and durable all-purpose daily graph/grid notebook for school or writing/drawing purposes. Book Features: 110 quad ruled (4x4) double sided graph pages Sized at 7.44 x 9.69" Soft matte cover for a professional finish Perfect for math, science, mapping, drawing, design projects or gaming purposes Can be used as a notebook, diary, journal or school composition book Perfect for all ages; kids or adults

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.

Download or read book Graph and Model Transformation written by Hartmut Ehrig and published by Springer. This book was released on 2015-12-21 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive explanation of graph and model transformation. It contains a detailed introduction, including basic results and applications of the algebraic theory of graph transformations, and references to the historical context. Then in the main part the book contains detailed chapters on M-adhesive categories, M-adhesive transformation systems, and multi-amalgamated transformations, and model transformation based on triple graph grammars. In the final part of the book the authors examine application of the techniques in various domains, including chapters on case studies and tool support. The book will be of interest to researchers and practitioners in the areas of theoretical computer science, software engineering, concurrent and distributed systems, and visual modelling.

Download or read book Graph Neural Networks Foundations Frontiers and Applications written by Lingfei Wu and published by Springer Nature. This book was released on 2022-01-03 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification. The new neural network architectures on graph-structured data (graph neural networks, GNNs in short) have performed remarkably on these tasks, demonstrated by applications in social networks, bioinformatics, and medical informatics. Despite these successes, GNNs still face many challenges ranging from the foundational methodologies to the theoretical understandings of the power of the graph representation learning. This book provides a comprehensive introduction of GNNs. It first discusses the goals of graph representation learning and then reviews the history, current developments, and future directions of GNNs. The second part presents and reviews fundamental methods and theories concerning GNNs while the third part describes various frontiers that are built on the GNNs. The book concludes with an overview of recent developments in a number of applications using GNNs. This book is suitable for a wide audience including undergraduate and graduate students, postdoctoral researchers, professors and lecturers, as well as industrial and government practitioners who are new to this area or who already have some basic background but want to learn more about advanced and promising techniques and applications.

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Download or read book Math Notebook written by Graph Paper Notebooks and published by . This book was released on 2019-08-27 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Math Graph Paper Notebook with 1/2 inch Squares - 100 Quad Ruled Pages / 8.5 x 11 in / 21.59 x 27.94 cm Makes a wonderful daily graph/grid math notebook to draw, write, journal, take notes, make lists, and much more creativity! This is a simple and durable all-purpose daily graph/grid notebook. There is plenty of room inside for drawing, writing notes, journaling, doodling, list making, creative writing, school notes, and capturing ideas. It can be used as a notebook, journal, diary, or composition book. This paperback notebook is 8.5 x 11 in / 21.59 x 27.94 cm with a soft, matte cover and has 100 quad ruled pages. Perfect for all ages -- kids or adults!Wonderful as a gift, present, or personal notebook! About this notebook: 100 graph ruled pages Grid ruled on both sides with thin gray lines Perfect for architects, artists, and any drawing activities High-quality matte cover for a professional finish Perfect size at 8.5 x 11 in / 21.59 x 27.94 cm -- Larger than most Scroll up and click 'Buy' to grab one today!

Download or read book Engineering Notebook Graph Paper Notebook Quadrille 4 X 4 Quad Ruled Book written by Engineering Humor Publishing and published by . This book was released on 2018-11-08 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: We all know that within every professional Engineer - there lies a great sense of humor - especially if it involves some equations and Engineering jokes. This personalized professional grade lab notebooks are perfect for students or any Engineers who want to record any essential notes, drawings, and intellectual properties. With sequentially numbered pages, table of content pages, researcher and witness signature and date blocks, these books are exceptionally reliable and easy to use. Measures 8x10 with matte cover and cream pages.We also offer these Engineering Notebooks in a variety of covers to match your personality and preferences.

Download or read book Graphs and Networks written by S. R. Kingan and published by John Wiley & Sons. This book was released on 2022-04-28 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphs and Networks A unique blend of graph theory and network science for mathematicians and data science professionals alike. Featuring topics such as minors, connectomes, trees, distance, spectral graph theory, similarity, centrality, small-world networks, scale-free networks, graph algorithms, Eulerian circuits, Hamiltonian cycles, coloring, higher connectivity, planar graphs, flows, matchings, and coverings, Graphs and Networks contains modern applications for graph theorists and a host of useful theorems for network scientists. The book begins with applications to biology and the social and political sciences and gradually takes a more theoretical direction toward graph structure theory and combinatorial optimization. A background in linear algebra, probability, and statistics provides the proper frame of reference. Graphs and Networks also features: Applications to neuroscience, climate science, and the social and political sciences A research outlook integrated directly into the narrative with ideas for students interested in pursuing research projects at all levels A large selection of primary and secondary sources for further reading Historical notes that hint at the passion and excitement behind the discoveries Practice problems that reinforce the concepts and encourage further investigation and independent work

Download or read book Knitter s Graph Paper Journal written by Narika Publishing and published by Createspace Independent Publishing Platform. This book was released on 2018-03-16 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Knitting Graph Design Paper is Ideal for knitters of all skill levels. This is a perfect journal for your knitting designs and great for all kinds of knitting designs or can be used as a progress journal for all your knitting projects. This journal is ideal for knitters of all skill levels. Size 8.5" x 11"

Download or read book I Love You Mom Equation Graph Paper Notebook Blank Grid Journal written by Relativistic Creations and published by Independently Published. This book was released on 2018-10-03 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: This fun and funny I Love You Mom Math Equation Graph Paper Notebook is the perfect gift for math and science loving moms. Your mother will appreciate the letters generated from polynomial and polar equations. Impress her with graphs and functions! A great gift for birthday's, Mother's day, Christmas or any other day that you want to let mom know she is loved. This blank graph paper journal is perfect for taking notes, deriving equations, making pretty graphs, making to do lists, and many other science mom related activities. Pick one up for mom today!

Download or read book Random Graphs 83 written by A. Rucinski and published by Elsevier. This book was released on 2011-10-10 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The range of random graph topics covered in this volume includes structure, colouring, algorithms, mappings, trees, network flows, and percolation. The papers also illustrate the application of probability methods to Ramsey's problems, the application of graph theory methods to probability, and relations between games on graphs and random graphs.

Download or read book Handbook of Graph Drawing and Visualization written by Roberto Tamassia and published by CRC Press. This book was released on 2013-08-19 with total page 869 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get an In-Depth Understanding of Graph Drawing Techniques, Algorithms, Software, and Applications The Handbook of Graph Drawing and Visualization provides a broad, up-to-date survey of the field of graph drawing. It covers topological and geometric foundations, algorithms, software systems, and visualization applications in business, education, science, and engineering. Each chapter is self-contained and includes extensive references. The first several chapters of the book deal with fundamental topological and geometric concepts and techniques used in graph drawing, such as planarity testing and embedding, crossings and planarization, symmetric drawings, and proximity drawings. The following chapters present a large collection of algorithms for constructing drawings of graphs, including tree, planar straight-line, planar orthogonal and polyline, spine and radial, circular, rectangular, hierarchical, and three-dimensional drawings as well as labeling algorithms, simultaneous embeddings, and force-directed methods. The book then introduces the GraphML language for representing graphs and their drawings and describes three software systems for constructing drawings of graphs: OGDF, GDToolkit, and PIGALE. The final chapters illustrate the use of graph drawing methods in visualization applications for biological networks, computer security, data analytics, education, computer networks, and social networks. Edited by a pioneer in graph drawing and with contributions from leaders in the graph drawing research community, this handbook shows how graph drawing and visualization can be applied in the physical, life, and social sciences. Whether you are a mathematics researcher, IT practitioner, or software developer, the book will help you understand graph drawing methods and graph visualization systems, use graph drawing techniques in your research, and incorporate graph drawing solutions in your products.

Download or read book Graph Theory and Combinatorial Optimization written by David Avis and published by Springer Science & Business Media. This book was released on 2005-04-28 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph theory is very much tied to the geometric properties of optimization and combinatorial optimization. Moreover, graph theory's geometric properties are at the core of many research interests in operations research and applied mathematics. Its techniques have been used in solving many classical problems including maximum flow problems, independent set problems, and the traveling salesman problem. Graph Theory and Combinatorial Optimization explores the field's classical foundations and its developing theories, ideas and applications to new problems. The book examines the geometric properties of graph theory and its widening uses in combinatorial optimization theory and application. The field's leading researchers have contributed chapters in their areas of expertise.

Download or read book HEXANOTE Hexagonal Graph Notebook Organic Chemistry written by Hexanote and published by . This book was released on 2018-02-07 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: High quality hexagonal graph paper notebook for drawing organic chemistry structures. 60# white offset paper perfect bound all notes in one place, no loose sheets 8.5x11" eco friendly through print on demand 150 pages made in the United States light hexagonal grid throughout the notebook fast delivery

Download or read book Graph and Network Theory written by Michael A. Henning and published by Springer Nature. This book was released on 2022-06-03 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook covers a diversity of topics in graph and network theory, both from a theoretical standpoint, and from an applied modelling point of view. Mathematica® is used to demonstrate much of the modelling aspects. Graph theory and model building tools are developed in tandem with effective techniques for solving practical problems via computer implementation. The book is designed with three primary readerships in mind. Individual syllabi or suggested sequences for study are provided for each of three student audiences: mathematics, applied mathematics/operations research, and computer science. In addition to the visual appeal of each page, the text contains an abundance of gems. Most chapters open with real-life problem descriptions which serve as motivation for the theoretical development of the subject matter. Each chapter concludes with three different sets of exercises. The first set of exercises are standard and geared toward the more mathematically inclined reader. Many of these are routine exercises, designed to test understanding of the material in the text, but some are more challenging. The second set of exercises is earmarked for the computer technologically savvy reader and offer computer exercises using Mathematica. The final set consists of larger projects aimed at equipping those readers with backgrounds in the applied sciences to apply the necessary skills learned in the chapter in the context of real-world problem solving. Additionally, each chapter offers biographical notes as well as pictures of graph theorists and mathematicians who have contributed significantly to the development of the results documented in the chapter. These notes are meant to bring the topics covered to life, allowing the reader to associate faces with some of the important discoveries and results presented. In total, approximately 100 biographical notes are presented throughout the book. The material in this book has been organized into three distinct parts, each with a different focus. The first part is devoted to topics in network optimization, with a focus on basic notions in algorithmic complexity and the computation of optimal paths, shortest spanning trees, maximum flows and minimum-cost flows in networks, as well as the solution of network location problems. The second part is devoted to a variety of classical problems in graph theory, including problems related to matchings, edge and vertex traversal, connectivity, planarity, edge and vertex coloring, and orientations of graphs. Finally, the focus in the third part is on modern areas of study in graph theory, covering graph domination, Ramsey theory, extremal graph theory, graph enumeration, and application of the probabilistic method.