AResKGLM: a graph-grounded language-model framework for interpretable multi-hop antimicrobial resistance reasoning.

Ren J, Yang Z, Liu W, Tat Alexander Ng M

DOI: 10.1093/bib/bbag456
Published: 2026 Sep 1
Container: Briefings in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag456,
  title = {AResKGLM: a graph-grounded language-model framework for interpretable multi-hop antimicrobial resistance reasoning.},
  author = {Ren J and Yang Z and Liu W and Tat Alexander Ng M},
  year = {2026},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbag456},
  url = {https://doi.org/10.1093/bib/bbag456}
}

RIS

TY  - JOUR
TI  - AResKGLM: a graph-grounded language-model framework for interpretable multi-hop antimicrobial resistance reasoning.
AU  - Ren J
AU  - Yang Z
AU  - Liu W
AU  - Tat Alexander Ng M
PY  - 2026
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbag456
UR  - https://doi.org/10.1093/bib/bbag456
ER  -

APA

J, R., Z, Y., W, L., & M, T. A. N. (2026). AResKGLM: a graph-grounded language-model framework for interpretable multi-hop antimicrobial resistance reasoning.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag456

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pubmed · retrieved 2026-09-25T02:52:19.676Z