Article

LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval

2026-01-13

Abstract excerpt

Knowledge graphs (KGs) are increasingly integrated with large language models (LLMs) to provide structured, verifiable reasoning. A core operation in this integration is multi-hop retrieval, yet existing systems struggle to balance efficiency, scalability, and interpretability. We introduce L ogos KG, a novel, hardware-aligned framework that enables scalable and interpretable k -hop retrieval on large KGs by bui...

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Literature Corpus work: 7b9950e1-49d1-5f74-bd21-687b1fda3895
DOI: 10.64898/2026.01.12.26343957

Open publication

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