Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

Knowledge graph reasoning (KGR) seeks to infer new factual triples from existing knowledge graphs (KGs). Recent methods have unified transductive and inductive reasoning by learning entity-independent ...

Aiming at the problem of sparse information distribution and lack of good correlation between data in the era of big data, this paper proposes a knowledge graph query and reasoning method based on ...

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Veloclade is a research prototype of a neuro-symbolic knowledge graph system. It uses clade-inspired hierarchy + embedding clustering (sentence-transformers) to control ontology growth and mitigate ...

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