Motif-Based Hypergraph Representation Learning: Transductive and Inductive Inference for Gene Regulatory Networks.

Wu S, Tang M, Zi T, Liu L, Qiao S, Ding G, Gao W

Open source

DOI
10.1109/tnnls.2026.3685617
Published
2026 Oct
Container
IEEE transactions on neural networks and learning systems
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1109/tnnls.2026.3685617,
  title = {Motif-Based Hypergraph Representation Learning: Transductive and Inductive Inference for Gene Regulatory Networks.},
  author = {Wu S and Tang M and Zi T and Liu L and Qiao S and Ding G and Gao W},
  year = {2026},
  journal = {IEEE transactions on neural networks and learning systems},
  doi = {10.1109/tnnls.2026.3685617},
  url = {https://doi.org/10.1109/tnnls.2026.3685617}
}

RIS

TY  - JOUR
TI  - Motif-Based Hypergraph Representation Learning: Transductive and Inductive Inference for Gene Regulatory Networks.
AU  - Wu S
AU  - Tang M
AU  - Zi T
AU  - Liu L
AU  - Qiao S
AU  - Ding G
AU  - Gao W
PY  - 2026
JO  - IEEE transactions on neural networks and learning systems
DO  - 10.1109/tnnls.2026.3685617
UR  - https://doi.org/10.1109/tnnls.2026.3685617
ER  - 

APA

S, W., M, T., T, Z., L, L., S, Q., G, D., & W, G. (2026). Motif-Based Hypergraph Representation Learning: Transductive and Inductive Inference for Gene Regulatory Networks.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3685617

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