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eBook: Network Embedding: Theories, Methods, and Applications (DRM PDF)
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$649.00
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商品簡介 |
| Many machine learning algorithms require real-valued feature vectors of data instances as inputs. By projecting data into vector spaces, representation learning techniques have achieved promising performance in many areas such as computer vision and natural language processing. There is also a need to learn representations for discrete relational data, namely networks or graphs. Network Embedding (NE) aims at learning vector representations for each node or vertex in a network to encode the topologic structure. Due to its convincing performance and efficiency, NE has been widely applied in many network applications such as node classification and link prediction.This book provides a comprehensive introduction to the basic concepts, models, and applications of network representation learning (NRL). The book starts with an introduction to the background and rising of network embeddings as a general overview for readers. Then it introduces the development of NE techniques by presenting several representative methods on general graphs, as well as a unified NE framework based on matrix factorization. Afterward, it presents the variants of NE with additional information: NE for graphs with node attributes/contents/labels; and the variants with different characteristics: NE for community-structured/large-scale/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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Maosong Sun 作者作品表
 Chinese Computational Linguistics: 22nd China National Conference, CCL 2023, Harbin, China, August 3-5, 2023, Proceedings (2023) (Paperback)
 Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy: 7th China Conference, Ccks 2022, Qinhuangdao, China, August 24-2
 Chinese Computational Linguistics: 21st China National Conference, CCL 2022, Nanchang, China, October 14-16, 2022, Proceedings (2022) (Paperback)
 Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data: 14th China National Conference, CCL 2015 and
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