Network Embedding by Cheng Yang
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.-
Graph Representation Learning
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A Concise Introduction to Models and Methods for Automated Planning
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Learning with Support Vector Machines
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A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
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Reasoning with Probabilistic and Deterministic Graphical Models
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Action Programming Languages
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Human Computation
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Learning and Decision-Making from Rank Data
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Explainable Human-AI Interaction
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Predicting Human Decision-Making
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Game Theory for Data Science
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Strategic Voting
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Statistical Relational Artificial Intelligence
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A Short Introduction to Preferences
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Case-Based Reasoning
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Representing and Reasoning with Qualitative Preferences
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Robot Learning from Human Teachers
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Visual Object Recognition
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General Game Playing
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Essential Principles for Autonomous Robotics
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Federated Learning
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Graph-Based Semi-Supervised Learning
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An Introduction to Constraint-Based Temporal Reasoning
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Intelligent Autonomous Robotics
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Answer Set Solving in Practice
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Representation Discovery using Harmonic Analysis
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Representations and Techniques for 3D Object Recognition and Scene Interpretation
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Introduction to Intelligent Systems in Traffic and Transportation
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Introduction to Symbolic Plan and Goal Recognition
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Judgment Aggregation
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Metric Learning
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Data Integration
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Trading Agents
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Introduction to Semi-Supervised Learning
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Transfer Learning for Multiagent Reinforcement Learning Systems
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Introduction to Graph Neural Networks
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Introduction to Logic Programming
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An Introduction to the Planning Domain Definition Language
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Lifelong Machine Learning, Second Edition
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Adversarial Machine Learning
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Multi-Objective Decision Making
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Active Learning
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Planning with Markov Decision Processes
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Computational Aspects of Cooperative Game Theory
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Algorithms for Reinforcement Learning
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.
| SKU | Unavailable |
| ISBN 13 | 9783031004629 |
| ISBN 10 | 3031004620 |
| Title | Network Embedding |
| Author | Cheng Yang |
| Series | Synthesis Lectures On Artificial Intelligence And Machine Learning |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2021-03-23 |
| Number of pages | 220 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |