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Part of the book series: Synthesis Lectures on Artificial Intelligence and Machine Learning (SLAIML)
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About this book
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.
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Table of contents (13 chapters)
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Front Matter
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Introduction to Network Embedding
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Front Matter
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Network Embedding with Additional Information
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Front Matter
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Network Embedding with Different Characteristics
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Front Matter
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Network Embedding Applications
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Front Matter
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Outlook for Network Embedding
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Front Matter
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Back Matter
Authors and Affiliations
About the authors
Cheng Yang is an assistant professor in the School of Computer Science, Beijing University of Posts and Telecommunications, China. He received his B.E. and Ph.D. degrees in Computer Science from Tsinghua University in 2014 and 2019, respectively. His research interests include network representation learning, social computing, and natural language processing. He has published more than 20 papers in top-tier conferences and journals including AAAI, ACL, ACM TOIS, and IEEE TKDE.Zhiyuan Liu is an associate professor in the Department of Computer Science and Technology, Tsinghua University, China. He got his B.E. in 2006 and his Ph.D. in 2011 from the Depart ment of Computer Science and Technology, Tsinghua University. His research interests are natural language processing and social computation. He has published over 60 papers in international journals and conferences, including IJCAI, AAAI, ACL, and EMNLP, and received more than 10,000 citations according to Google Scholar.
Cunchao Tu is a postdoc in the Department of Computer Science and Technology, Tsinghua University. He got his B.E. and Ph.D. in 2013 and 2018 from the Department of Computer Science and Technology, Tsinghua University. His research interests include network represen tation learning, social computing, and legal intelligence. He has published over 20 papers in international journals and conferences including IEEE TKDE, AAAI, ACL, and EMNLP.
Chuan Shi is a professor in the School of Computer Sciences of Beijing University of Posts and Telecommunications. His main research interests include data mining, machine learning, and big data analysis. He has published more than 100 refereed papers, including top journals and conferences in data mining, such as IEEE TKDE, ACM TIST, KDD, WWW, AAAI, and IJCAI.
Maosong Sun is a professor of the Department of Computer Science and Technology, and the Executive Vice President of Institute of Artificial Intelligence at Tsinghua University. His research interests include natural language processing, internet intelligence, machine learning, social computing, and computational education. He was elected as a foreign member of the Academia Europaea in 2020. He has published more than 200 papers in top-tier conferences and journals and received more than 15,000 citations according to Google Scholar.
Cunchao Tu is a postdoc in the Department of Computer Science and Technology, Tsinghua University. He got his B.E. and Ph.D. in 2013 and 2018 from the Department of Computer Science and Technology, Tsinghua University. His research interests include network represen tation learning, social computing, and legal intelligence. He has published over 20 papers in international journals and conferences including IEEE TKDE, AAAI, ACL, and EMNLP.
Chuan Shi is a professor in the School of Computer Sciences of Beijing University of Posts and Telecommunications. His main research interests include data mining, machine learning, and big data analysis. He has published more than 100 refereed papers, including top journals and conferences in data mining, such as IEEE TKDE, ACM TIST, KDD, WWW, AAAI, and IJCAI.
Maosong Sun is a professor of the Department of Computer Science and Technology, and the Executive Vice President of Institute of Artificial Intelligence at Tsinghua University. His research interests include natural language processing, internet intelligence, machine learning, social computing, and computational education. He was elected as a foreign member of the Academia Europaea in 2020. He has published more than 200 papers in top-tier conferences and journals and received more than 15,000 citations according to Google Scholar.
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Bibliographic Information
Book Title: Network Embedding
Book Subtitle: Theories, Methods, and Applications
Authors: Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu, Maosong Sun
Series Title: Synthesis Lectures on Artificial Intelligence and Machine Learning
DOI: https://doi.org/10.1007/978-3-031-01590-8
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 10
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-031-00462-9Published: 23 March 2021
eBook ISBN: 978-3-031-01590-8Published: 31 May 2022
Series ISSN: 1939-4608
Series E-ISSN: 1939-4616
Edition Number: 1
Number of Pages: XXI, 220
Topics: Artificial Intelligence, Machine Learning, Mathematical Models of Cognitive Processes and Neural Networks