Tag: Graph

Free Download Graph Algorithms for Data Science (MEAP V08) by
English | 2023 | ISBN: 9781617299469 | 386 pages | MOBI | 6.40 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.

Free Download Graph Algorithms for Data Science (MEAP V09)
English | 2023 | ISBN: 9781617299469 | 432 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.

Free Download Graph Spectra for Complex Networks
English | 2023 | ISBN: 1009366807 | 536 Pages | PDF | 10 MB
This concise and self-contained introduction builds up the spectral theory of graphs from scratch, with linear algebra and the theory of polynomials developed in the later parts. The book focuses on properties and bounds for the eigenvalues of the adjacency, Laplacian and effective resistance matrices of a graph. The goal of the book is to collect spectral properties that may help to understand the behavior or main characteristics of real-world networks. The chapter on spectra of complex networks illustrates how the theory may be applied to deduce insights into real-world networks. The second edition contains new chapters on topics in linear algebra and on the effective resistance matrix, and treats the pseudoinverse of the Laplacian. The latter two matrices and the Laplacian describe linear processes, such as the flow of current, on a graph. The concepts of spectral sparsification and graph neural networks are included.

Free Download Graph Learning and Network Science for Natural Language Processing (Computational Intelligence Techniques) by Muskan Garg, Amit Kumar Gupta, Rajesh Prasad
English | December 28, 2022 | ISBN: 1032224568 | 272 pages | MOBI | 8.11 Mb
Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models.

Free Download Dynamic Graph Learning for Dimension Reduction and Data Clustering
English | 2024 | ISBN: 3031423127 | 261 Pages | PDF EPUB (True) | 19 MB
This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized as an advanced technique. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area. The authors then explain how these techniques can be practically applied for several purposes, including feature selection, feature projection, and data clustering.

Free Download Beginner’s Guide to Unity Shader Graph: Create Immersive Game Worlds Using Unity’s Shader Tool
English | 2023 | ISBN: 1484296710 | 453 Pages | PDF EPUB (True) | 89 MB
Discover how shaders can enhance your game and mesmerize players by making graphic gameplay elements more realistic and attractive. This book provides easy-to-follow recipes that will show you how to leverage the Unity Shader Graph to create more immersive, enjoyable games.

Free Download Unity Shader Graph Create Procedural Shaders & Dynamic Fx
Published 12/2023
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.13 GB | Duration: 3h 51m
Use Unity Shader Graph to dynamically generate water, fire, smoke, footprints in the snow and more.

Free Download Graph Theory – Beginners to Advanced Level
Published 11/2023
Created by Sourav Das
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13 Lectures ( 35m ) | Size: 126 MB

Free Download Graph Generation for Drug Discovery using Python and Keras
Published 10/2023
Created by Karthik K
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 37 Lectures ( 1h 24m ) | Size: 371 MB

Free Download Graph Generation for Drug Discovery using Python and Keras
Published 10/2023
Created by Karthik K
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 37 Lectures ( 1h 24m ) | Size: 371 MB