| 书目名称 | Knowledge Graph Reasoning |
| 副标题 | A Neuro-Symbolic Per |
| 编辑 | Kewei Cheng,Yizhou Sun |
| 视频video | |
| 概述 | Focuses on neural-symbolic integration on KG reasoning to unify the modern representation approaches with traditional symbolic reasoning approaches.Provides a principled theoretical view and gives dee |
| 丛书名称 | Synthesis Lectures on Data, Semantics, and Knowledge |
| 图书封面 |  |
| 描述 | .This book provides a coherent and unifying view for logic and representation learning to contribute to knowledge graph (KG) reasoning and produce better computational tools for integrating both worlds. To this end, logic and deep neural network models are studied together as integrated models of computation. This book is written for readers who are interested in KG reasoning and the new perspective of neuro-symbolic integration and have prior knowledge to neural networks and deep learning. The authors first provide a preliminary introduction to logic and background knowledge closely related to the surveyed techniques such as the introduction of knowledge graph and ontological schema and the technical foundations of first-order logic learning. Reasoning techniques for knowledge graph completion are presented from three perspectives, including: representation learning-based, logical, and neuro-symbolic integration. The book then explores question answering on KGs with specific focus on multi-hop and complex-logic query answering before outlining work that addresses the rule learning problem. The final chapters highlight foundations on ontological schema and introduce its usage |
| 出版日期 | Book 2025 |
| 关键词 | Knowledge Graph Embedding; Knowledge Graph Reasoning; Logical Query Representation; Neural Symbolic Rea |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-72008-6 |
| isbn_softcover | 978-3-031-72010-9 |
| isbn_ebook | 978-3-031-72008-6Series ISSN 2691-2023 Series E-ISSN 2691-2031 |
| issn_series | 2691-2023 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 17:24:11
