Titlebook: Knowledge Graph Reasoning; A Neuro-Symbolic Per Kewei Cheng,Yizhou Sun Book 2025 The Editor(s) (if applicable) and The Author(s), under exc

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Kewei Cheng,Yizhou Sun oorzaken buiten de invloedssfeer van de pati?nt), des te bruikbaarder en des te groter de kans dat de pati?nt er zelf mee aan de slag kan. Wil dat laatste ook daadwerkelijk gebeuren, dan is de kans aanzienlijk dat de pati?nt zich gedurende de diagnostische fase steeds meer probleemeigenaar heeft ge

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Kewei Cheng,Yizhou Sun. De afgelopen twee decennia is de internationale belangstelling voor genderspecifieke zorg en onderzoek binnen de cardiologie sterk toegenomen en er is veel voortschrijdend inzicht op dit terrein..Handboek gynaecardiologie biedt de meest recente kennis over vrouwspecifieke aspecten van de cardiolog

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Complex Query Answering, to satisfy logical laws with their logical operations, resulting in inferior performance. To address this issue, FuzzQE?[.] has been proposed. By carefully designing embeddings for entities and sets and utilizing fuzzy logic to define logical operators, FuzzQE ensures logical laws to be satisfied,

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Book 2025and 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

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Kewei Cheng,Yizhou Sune cardiologie sterk toegenomen en er is veel voortschrijdend inzicht op dit terrein..Handboek gynaecardiologie biedt de meest recente kennis over vrouwspecifieke aspecten van de cardiolog978-90-313-8781-6978-90-313-8782-3

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Introduction,at providing a novel neuro-symbolic perspective in summarizing recent advances in a variety of knowledge graph reasoning tasks. By bridging the gap between neural networks and symbolic reasoning, this book offers a unique and comprehensive perspective on knowledge graph reasoning.

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,Preliminaries on?Knowledge Graph and?Symbolic Logic,graph reasoning tasks, from the perspective of both graph learning and symbolic logic. In the end, we provide a brief and broader introduction to symbolic logic to facilitate the readers to better understand the symbolic component of this book.