Graph Neural Network Basics (3 results)
- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
Contact seller5-star sellerCondition: New
US$ 114.42
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paperback. Condition: New. Paperback. Pub Date: 2024-04 Pages: 212 Publisher: Tsinghua University Press Graph neural networks can not only solve graph data problems that traditional machine learning methods cannot solve. but can also be applied to many practical scenarios. such as social networks. drug discovery. network securit…y. financial risk control. etc. This book aims to provide a detailed and comprehensive introductory guide for beginners and practitioners. focusing on the basics. models. and practical applicati.
- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
Contact seller5-star sellerCondition: New
US$ 114.42
US$ 18.00 shippingShips from China to U.S.A.Quantity: 3 available
paperback. Condition: New. Paperback. Pub Date: 2021-02-01 Pages: 152 Language: Chinese Publisher: Publishing House of Electronics Industry Graph Neural Network is an emerging direction in the field of artificial intelligence. It has not only quickly received widespread attention from the academic community. but also has been su…ccessfully applied In many areas of industry.?This book introduces the basic knowledge and cutting-edge research of graph neural networks and graph deep learning. not only their development hist.
- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
Contact seller5-star sellerCondition: New
US$ 205.90
US$ 18.00 shippingShips from China to U.S.A.Quantity: 3 available
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2022-11-01 Pages: 516 Publisher: People's Posts and Telecommunications Press This book is dedicated to introducing the basic concepts and algorithms of graph neural networks. research frontiers. and extensive and emerging applications. covering a wide range of topi…cs in graph neural networks. From basics to frontiers. from methods to applications. it involves everything from methodology to application scenarios. The book is divided into four parts: the fi.
