Graph Neural Networks: Foundations, Frontiers, and Applications - Hardcover
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Availability:In StockContributor:Lingfei Wu (Editor), Peng Cui (Editor), Jian Pei (Editor)Publish date:2022-01-04Pages:689
Language:EnglishPublisher:SpringerISBN-13:9789811660535ISBN-10:9811660530UPC:9789811660535Book Category:ComputersBook Subcategory:Information Theory, Data Science, Computer ScienceBook Topic:Data AnalyticsSize:9.21 x 6.14 x 1.56 inchesWeight:2.6213Product ID:SC3X8MKJ5V
Graph Neural Networks: Foundations, Frontiers, and Applications
Chapter 1. Representation Learning.- Chapter 2. Graph Representation Learning.- Chapter 3. Graph Neural Networks.- Chapter 4. Graph Neural Networks for Node Classification.- Chapter 5. The Expressive Power of Graph Neural Networks.- Chapter 6. Graph Neural Networks: Scalability.- Chapter 7. Interpretability in Graph Neural Networks.- Chapter 8. "Graph Neural Networks: Adversarial Robustness".-...
Language:EnglishPublisher:SpringerISBN-13:9789811660535ISBN-10:9811660530UPC:9789811660535Book Category:ComputersBook Subcategory:Information Theory, Data Science, Computer ScienceBook Topic:Data AnalyticsSize:9.21 x 6.14 x 1.56 inchesWeight:2.6213Product ID:SC3X8MKJ5V
Dr. Lingfei Wu is a Principal Scientist at JD.COM Silicon Valley Research Center, leading a team of 30+ machine learning/natural language processing scientists and software engineers to build intelligent e-commerce personalization system. He earned his Ph.D. degree in computer science from the College of William and Mary in 2016. Previously, he was a research staff member at IBM Thomas J. Watson...
Publisher: Springer
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2022 Edition
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