Knowledge Graph Reasoning: A Neuro-Symbolic Perspective

Author:   Kewei Cheng ,  Yizhou Sun
Publisher:   Springer International Publishing AG
Edition:   2024 ed.
ISBN:  

9783031720079


Pages:   196
Publication Date:   22 November 2024
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Knowledge Graph Reasoning: A Neuro-Symbolic Perspective


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Author:   Kewei Cheng ,  Yizhou Sun
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
ISBN:  

9783031720079


ISBN 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   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- 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.

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Author Information

Kewei 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.

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