Heterogeneous Graph Representation Learning and Applications by Chuan Shi (Engli-image

Heterogeneous Graph Representation Learning and Applications by Chuan Shi (Engli

$ 142.69

Item Weight: 23.8 Oz Book Title: Heterogeneous Graph Representation Learning and Applications Publication Name: Heterogeneous Graph Representation Learning and Applications Author: Chuan Shi, Philip S. Yu, Xiao Wang ISBN: 9789811661655 Publication Year: 2022 Language: English Format: Hardcover ISBN-13: 9789811661655 Series: Artificial Intelligence: Foundations, Theory, and Algorithms Ser. Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, General, Databases / Data Mining Publisher: Springer Type: Textbook Item Width: 6.1 in gtin13: 9789811661655 Item Length: 9.3 in Number of Pages: Xx, 318 Pages Subject Area: Mathematics, Computers

Description

Heterogeneous Graph Representation Learning and Applications by Chuan Shi, Xiao Wang, Philip S. Yu Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous attributes or types of content (e.g. text or image) associated with each node. Although considerable advances have been made in homogeneous (and heterogeneous) graph embedding, attributed graph embedding and graph neural networks, few are capable of simultaneously and effectively taking into account heterogeneous structural (graph) information as well as the heterogeneous content information of each node. In this book, we provide a comprehensive survey of current developments in HG representation learning.More importantly, we present the state-of-the-art in this field, including theoretical models and real applications that have been showcased at the top conferences and journals, such as TKDE, KDD, WWW, IJCAI and AAAI. The book has two major objectives: (1) to provide researchers with an understanding of the fundamental issues and a good point of departure for working in this rapidly expanding field, and (2) to present the latest research on applying heterogeneous graphs to model real systems and learning structural features of interaction systems. To the best of our knowledge, it is the first book to summarize the latest developments and present cutting-edge research on heterogeneous graph representation learning. To gain the most from it, readers should have a basic grasp of computer science, data mining and machine learning. Details ISBN 9811661650 ISBN-13 9789811661655 Title Heterogeneous Graph Representation Learning and Applications Author Chuan Shi, Xiao Wang, Philip S. Yu Format Hardcover Year 2022 Pages 318 Edition 2022nd Publisher Springer Verlag, Singapore GE_Item_ID:137564738; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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