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Neural Symbolic Knowledge Graph Reasoning: A Pathway Towards Neural Symbolic AI

Neural Symbolic Knowledge Graph Reasoning: A Pathway Towards Neural Symbolic AI

by Liu, Lihui
No customer reviews yet ISBN 9783032158574

This book explores various aspects of knowledge graph reasoning to solve different tasks, encompassing first, traditional symbolic methods for knowledge graph reasoning; second, recent developments in neural-based knowledge graph reasoning techniques; and third, cutting-edge advancements in neural-symbolic hybrid approaches to knowledge graph reasoning. The authors focus on the model and algorithm design aspect and study knowledge graphs from two perspectives: background knowledge graph and input query. Knowledge graph reasoning, which aims to infer and discover new knowledge from existing information in the knowledge graph, has played an important role in many real-world applications, such as question answering and recommender systems. A new trend in knowledge graph reasoning is the combination of neural models with symbolic knowledge graphs, allowing for the design of models that are not only efficient and accurate, but also interpretable. In this book, the authors study the application of neural-symbolic knowledge reasoning to different tasks from two perspectives: the input query and the background knowledge graph.

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Pub dateFeb 3, 2026
ISBN-103032158575
ISBN-139783032158574
LanguageEnglish
Last updated 2026-09-14 18:34
$47.07
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