Hypergraph learning with multi-dimensional metabolite feature extractions and static–dynamic attention mechanisms to fill missing reactions in metabolic networks

Kai Wang, Jiajun Qu, Fei Liu, Xiaoli Luan, Jingwen Zhou

Open source

DOI
10.1093/bib/bbag314
Published
2026-05
Container
Briefings in Bioinformatics
Publisher
Oxford University Press (OUP)
Open access
unknown

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BibTeX

@article{allodium:10.1093/bib/bbag314,
  title = {Hypergraph learning with multi-dimensional metabolite feature extractions and static–dynamic attention mechanisms to fill missing reactions in metabolic networks},
  author = {Kai Wang and Jiajun Qu and Fei Liu and Xiaoli Luan and Jingwen Zhou},
  year = {2026},
  journal = {Briefings in Bioinformatics},
  doi = {10.1093/bib/bbag314},
  url = {https://doi.org/10.1093/bib/bbag314}
}

RIS

TY  - JOUR
TI  - Hypergraph learning with multi-dimensional metabolite feature extractions and static–dynamic attention mechanisms to fill missing reactions in metabolic networks
AU  - Kai Wang
AU  - Jiajun Qu
AU  - Fei Liu
AU  - Xiaoli Luan
AU  - Jingwen Zhou
PY  - 2026
JO  - Briefings in Bioinformatics
DO  - 10.1093/bib/bbag314
UR  - https://doi.org/10.1093/bib/bbag314
ER  - 

APA

Wang, K., Qu, J., Liu, F., Luan, X., & Zhou, J. (2026). Hypergraph learning with multi-dimensional metabolite feature extractions and static–dynamic attention mechanisms to fill missing reactions in metabolic networks. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbag314

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