Graph Algorithms by Mark Needham and Amy E. Hodler Copyright ? 2019 Amy Hodler and Mark Needham. All rights reserved. What’s in This Book This book is a practical guide to getting started with graph algorithms for developers and data scientists who have experience using Apache Spark? or Neo4j. Although our algorithm examples utilize the Spark and Neo4j platforms, this book will also be helpful for understanding more general graph concepts, regardless of your choice of graph technologies. The first two chapters provide an introduction to graph analytics, algorithms, and theory. The third chapter briefly covers the platforms used in this book before we dive into three chapters focusing on classic graph algorithms: pathfinding, centrality, and community detection. We wrap up the book with two chapters showing how graph algorithms are used within workflows: one for general analysis and one for machine learning. At the beginning of each category of algorithms, there is a reference table to help you quickly jump to the relevant algorithm. For each algorithm, you’ll find: ? An explanation of what the algorithm does ? Use cases for the algorithm and references to where you can learn more ? Example code providing concrete ways to use the algorithm in Spark, Neo4j, or both 圖方法方面最新的參考書，本文理論實踐兼備（看標題就知道了），內容高清無碼書簽完整誠不我欺，強烈推薦給需要的朋友！