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OverviewFull Product DetailsAuthor: Kewei Cheng , Yizhou SunPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2024 ed. ISBN: 9783031720079ISBN 10: 3031720075 Pages: 196 Publication Date: 22 November 2024 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- Preliminaries on Knowledge Graph and Symbolic Logic.- Knowledge Graph Completion.- Complex Query Answering.-Logical Rule Learning.- Incorporating Ontology to Knowledge Graph Reasoning.- Conclusion and Research Frontiers.ReviewsAuthor InformationKewei Cheng, Ph.D., is an applied scientist at Amazon. She earned her Ph.D. in Computer Science from UCLA in 2024. Her main research areas include graph and network mining as well as broader interests in data mining and machine learning. Dr. Cheng’s work has been featured in various prestigious conferences across multiple domains such as KDD, VLDB, WSDM, CIKM, AAAI, ICLR, EMNLP, and ACL. Yizhou Sun, Ph.D., is a Professor in the Department of Computer Science at UCLA. Her principal research interest is on mining graphs/networks and more generally in data mining and machine learning with a recent focus on deep learning on graphs and neuro-symbolic reasoning. Dr. Sun is a recipient of multiple Best Paper Awards, two Test of Time Awards, among many other awards. She has also served as organizers of top conferences in the field, such as KDD’23, ICLR’24, and KDD’25. Tab Content 6Author Website:Countries AvailableAll regions |