NEOGRAN: traceable graph-text fusion for disease–protein relation prediction in biomedical knowledge graphs

Zhenxing Wang, Qihe Wang, Murong Zhou, Guohua Wang, Yuming Zhao

Open source

DOI: 10.1186/s12859-026-06580-3
Published: 2026-08-08
Container: BMC Bioinformatics
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s12859-026-06580-3,
  title = {NEOGRAN: traceable graph-text fusion for disease–protein relation prediction in biomedical knowledge graphs},
  author = {Zhenxing Wang and Qihe Wang and Murong Zhou and Guohua Wang and Yuming Zhao},
  year = {2026},
  journal = {BMC Bioinformatics},
  doi = {10.1186/s12859-026-06580-3},
  url = {https://doi.org/10.1186/s12859-026-06580-3}
}

RIS

TY  - JOUR
TI  - NEOGRAN: traceable graph-text fusion for disease–protein relation prediction in biomedical knowledge graphs
AU  - Zhenxing Wang
AU  - Qihe Wang
AU  - Murong Zhou
AU  - Guohua Wang
AU  - Yuming Zhao
PY  - 2026
JO  - BMC Bioinformatics
DO  - 10.1186/s12859-026-06580-3
UR  - https://doi.org/10.1186/s12859-026-06580-3
ER  -

APA

Wang, Z., Wang, Q., Zhou, M., Wang, G., & Zhao, Y. (2026). NEOGRAN: traceable graph-text fusion for disease–protein relation prediction in biomedical knowledge graphs. BMC Bioinformatics. https://doi.org/10.1186/s12859-026-06580-3

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crossref · retrieved 2026-11-10T13:34:38.553Z