From literature to lab protocols with knowledge-graph-guided large language models

Digital Discovery 2026 Open access

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Authors: Boyao Zhao, Zhiyang Li, Yihan Zhang, Tao Song, Shi Zhou, Quan Lin, Weiwei Shang, Jun Jiang, Linjiang Chen
DOI: 10.1039/d6dd00001k
Cited by: 0
References: 32

Abstract

A knowledge-graph-guided LLM converts scientific literature into structured, traceable experimental protocols, improving factual fidelity, information coverage, and cross-domain applicability.

Fields of Study & Subjects

Advanced Graph Neural Networks Topic Modeling Biomedical Text Mining and Ontologies

Publication details

Journal / source
Digital Discovery
Volume
5
Issue
9
Pages
3661–3673
Publication date
1 January 2026
Language
EN