The Knowledge Graph Cookbook
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The Knowledge Graph Cookbook
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Author : Andreas Blumauer
language : en
Publisher:
Release Date : 2020
The Knowledge Graph Cookbook written by Andreas Blumauer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Neo4j Cookbook
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Author : Ankur Goel
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-05-28
Neo4j Cookbook written by Ankur Goel and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-28 with Computers categories.
If you are already using Neo4j in your application and want to learn more about data analysis or database graphs, this is the book for you. This book also caters for your needs if you are looking to migrate your existing application to Neo4j in the future. We assume that you are already familiar with any general purpose programming language and have some familiarity with Neo4j.
Graph Representation Learning
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Author : William L. Hamilton
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Graph Representation Learning written by William L. Hamilton and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.
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.
Knowledge Graphs
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Author : Mayank Kejriwal
language : en
Publisher: MIT Press
Release Date : 2021-03-30
Knowledge Graphs written by Mayank Kejriwal and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-30 with Computers categories.
A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.
Gephi Cookbook
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Author : Devangana Khokhar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-05-27
Gephi Cookbook written by Devangana Khokhar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-27 with Computers categories.
If you want to learn network analysis and visualization along with graph concepts from scratch, then this book is for you. This is ideal for those of you with little or no understanding of Gephi and this domain, but will also be beneficial for those interested in expanding their knowledge and experience.
R Graphics Cookbook
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Author : Winston Chang
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013
R Graphics Cookbook written by Winston Chang and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.
"Practical recipes for visualizing data"--Cover.
Opengl Data Visualization Cookbook
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Author : Raymond C. H. Lo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-08-24
Opengl Data Visualization Cookbook written by Raymond C. H. Lo and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-24 with Computers categories.
Over 35 hands-on recipes to create impressive, stunning visuals for a wide range of real-time, interactive applications using OpenGL About This Book Get acquainted with a set of fundamental OpenGL primitives and concepts that enable users to create stunning visuals of arbitrarily complex 2D and 3D datasets for many common applications Explore interactive, real-time visualization of large 2D and 3D datasets or models, including the use of more advanced techniques such as stereoscopic 3D rendering. Create stunning visuals on the latest platforms including mobile phones and state-of-the-art wearable computing devices Who This Book Is For This book is aimed at anyone interested in creating impressive data visualization tools using modern graphics hardware. Whether you are a developer, engineer, or scientist, if you are interested in exploring the power of OpenGL for data visualization, this book is for you. While familiarity with C/C++ is recommended, no previous experience with OpenGL is assumed. What You Will Learn Install, compile, and integrate the OpenGL pipeline into your own project Create interactive applications using GLFW to handle user inputs and the Android Sensor framework to detect gestures and motions on mobile devices Use OpenGL primitives to plot 2-D datasets such as time series dynamically Render complex 3D volumetric datasets with techniques such as data slicers and multiple viewpoint projection Render images, videos, and point cloud data from 3D range-sensing cameras using the OpenGL Shading Language (GLSL) Develop video see-through augmented reality applications on mobile devices with OpenGL ES 3.0 and OpenCV Visualize 3D models with meshes and surfaces using stereoscopic 3D technology In Detail OpenGL is a great multi-platform, cross-language, and hardware-accelerated graphics interface for visualizing large 2D and 3D datasets. Data visualization has become increasingly challenging using conventional approaches as datasets become larger and larger, especially with the Big Data evolution. From a mobile device to a sophisticated high-performance computing cluster, OpenGL libraries provide developers with an easy-to-use interface to create stunning visuals in 3D in real time for a wide range of interactive applications. This book provides a series of easy-to-follow, hands-on tutorials to create appealing OpenGL-based visualization tools with minimal development time. We will first illustrate how to quickly set up the development environment in Windows, Mac OS X, and Linux. Next, we will demonstrate how to visualize data for a wide range of applications using OpenGL, starting from simple 2D datasets to increasingly complex 3D datasets with more advanced techniques. Each chapter addresses different visualization problems encountered in real life and introduces the relevant OpenGL features and libraries in a modular fashion. By the end of this book, you will be equipped with the essential skills to develop a wide range of impressive OpenGL-based applications for your unique data visualization needs, on platforms ranging from conventional computers to the latest mobile/wearable devices. Style and approach This is an easy-to-follow, comprehensive Cookbook showing readers how to create an application with real-time, interactive data visualization in stereoscopic 3D. Each topic is explained in a step-by-step format. A range of hot topics is included, including data visualization on mobile and wearable platforms.
Data Visualization
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Author : Kieran Healy
language : en
Publisher: Princeton University Press
Release Date : 2018-12-18
Data Visualization written by Kieran Healy and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-18 with Social Science categories.
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions
Facebook Application Development With Graph Api Cookbook
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Author : Shashwat Srivastava
language : en
Publisher: Packt Publishing
Release Date : 2011
Facebook Application Development With Graph Api Cookbook written by Shashwat Srivastava and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Application software categories.
With a user base of nearly 800 million people, Facebook is the number one social networking platform. Applications can be created to interact with this huge user base in various ways both inside and outside Facebook. These applications, if developed effectively and efficiently, offer a free medium for promotion and publicity of a product or an organization.Facebook Application Development with Graph API Cookbook covers both the concepts and implementations necessary to develop Facebook applications and provides ready to use code for common scenarios faced by a developer while creating these applications. It incorporates the newly launched Facebook Graph API and also presents the reader with some intuitive ready to use applications.This book guides the reader step by step, from start to finish, through various stages of Facebook application development. It begins by exploring the Facebook application registration and discussing the verification and authentication technique. It then takes you through the various ways in which you can use Facebook Graph API for interacting with users such as posting on a user's wall, tagging a user in a picture, etc. Accessing complex Facebook user data by formulating a series of queries, doing client side scripting and incorporating Facebook Dialog interface are some other features that have been incorporated in this book. Integration of various Facebook Social Plugins such as the like box in your web page has also been discussed. Further you will get to know the concept of virtual currency and how to programmatically derive Facebook analytics data. As the book progresses, you will learn to use and integrate many more advanced features in Facebook application development. The book contains ready to use code that can be deployed instantly. Towards the end, the book houses a variety of ready to use Facebook applications so as to help readers derive their own applications from them.