MPG.eBooks - Description: Network Embedding

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Network Embedding Theories, Methods, and Applications

heterogeneous graphs. Further, the book introduces different applications of NE such as recommendation and information diffusion prediction. Finally, the book concludes the methods and applications and looks forward to the future directions

Bibliographic Details
Main Authors:	Yang, Cheng, Liu, Zhiyuan (Author), Tu, Cunchao (Author), Shi, Chuan (Author)
Format:	eBook
Language:	English
Published:	Cham Springer International Publishing 2021, 2021
Edition:	1st ed. 2021
Series:	Synthesis Lectures on Artificial Intelligence and Machine Learning
Subjects:	Machine Learning Neural Networks (computer Science) Mathematical Models Of Cognitive Processes And Neural Networks Artificial Intelligence
Online Access:	https://doi.org/10.1007/978-3-031-01590-8?nosfx=y
Collection:	Springer eBooks 2005- - Collection details see MPG.ReNa

Description
Summary:	heterogeneous graphs. Further, the book introduces different applications of NE such as recommendation and information diffusion prediction. Finally, the book concludes the methods and applications and looks forward to the future directions
Physical Description:	XXI, 220 p online resource
ISBN:	9783031015908