Network Embedding : Theories, Methods, and Applications (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Yang, Cheng/ Liu, Zhiyuan/ Tu, Cunchao

Springer International Publishing AG（2021/03発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 220 p.
• 言語 ENG
• 商品コード 9783031004629

Full Description

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.

Contents

Preface.- Acknowledgments.- The Basics of Network Embedding.- Network Embedding for General Graphs.- Network Embedding for Graphs with Node Attributes.- Revisiting Attributed Network Embedding: A GCN-Based Perspective.- Network Embedding for Graphs with Node Contents.- Network Embedding for Graphs with Node Labels.- Network Embedding for Community-Structured Graphs.- Network Embedding for Large-Scale Graphs.- Network Embedding for Heterogeneous Graphs.- Network Embedding for Social Relation Extraction.- Network Embedding for Recommendation Systems on LBSNs.- Network Embedding for Information Diffusion Prediction.- Future Directions of Network Embedding.- Bibliography.- Authors' Biographies.