Large language models for knowledge graph extraction from tables in materials science

Large language models are promising tools for unifying scattered data, extracting information, and creating knowledge graphs.

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Publication Details

Journal
Digital Discovery
Published
2025-01-01
DOI
https://doi.org/10.1039/d4dd00362d
Citations
4
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
2.07

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article

Large language models for knowledge graph extraction from tables in materials science

Max Dreger, Michael Eikerling, Kourosh Malek
4 citations
Digital Discovery
Machine Learning in Materials Science
2.07
article

Large language models for knowledge graph extraction from tables in materials science

Max Dreger, Michael Eikerling, Kourosh Malek
article en
4 citations

Abstract

Large language models are promising tools for unifying scattered data, extracting information, and creating knowledge graphs.

Digital DiscoveryVol. 4(5)
Forschungszentrum Jülich (DE), RWTH Aachen University (DE)
University of Connecticut, Bundesministerium für Bildung und Forschung, Forschungszentrum Jülich
Openalex Percentile: Top 14%
Machine Learning in Materials Science
2.07
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