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OverviewFull Product DetailsAuthor: Zhiyuan Liu , Jie ZhouPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Weight: 0.257kg ISBN: 9783031004599ISBN 10: 3031004590 Pages: 109 Publication Date: 20 March 2020 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Language: English Table of ContentsPreface.- Acknowledgments.- Introduction.- Basics of Math and Graph.- Basics of Neural Networks.- Vanilla Graph Neural Networks.- Graph Convolutional Networks.- Graph Recurrent Networks.- Graph Attention Networks.- Graph Residual Networks.- Variants for Different Graph Types.- Variants for Advanced Training Methods.- General Frameworks.- Applications -- Structural Scenarios.- Applications -- Non-Structural Scenarios.- Applications -- Other Scenarios.- Open Resources.- Conclusion.- Bibliography.- Authors' Biographies.ReviewsAuthor InformationZhiyuan Liu is an associate professor in the Department of Computer Science and Technology, Tsinghua University. He got his B.E. in 2006 and his Ph.D. in 2011 from the Department 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.Jie Zhou is a second-year Masters student of the Department of Computer Science and Technology, Tsinghua University. He got his B.E. from Tsinghua University in 2016. His research interests include graph neural networks and natural language processing. Tab Content 6Author Website:Countries AvailableAll regions |
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