Hypergraph learning with multi-dimensional metabolite feature extractions and static–dynamic attention mechanisms to fill missing reactions in metabolic networks
- DOI
- 10.1093/bib/bbag314
- Published
- 2026-05
- Container
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
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
Source records
- crossref · retrieved 2026-09-26T03:15:54.149Z