RaR: a clustering-based retrieve-and-rerank framework for knowledge graph reasoning in medical question answering

@article{longxiang2026,
  title        = {{RaR: a clustering-based retrieve-and-rerank framework for knowledge graph reasoning in medical question answering}},
  author       = {Longxiang Jin et al.},
  journal      = {Knowledge and Information Systems},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10115-025-02676-z},
}

TY  - JOUR
TI  - RaR: a clustering-based retrieve-and-rerank framework for knowledge graph reasoning in medical question answering
AU  - al., Longxiang Jin et
JO  - Knowledge and Information Systems
PY  - 2026
ER  -

Longxiang Jin et al. (2026). RaR: a clustering-based retrieve-and-rerank framework for knowledge graph reasoning in medical question answering. *Knowledge and Information Systems*. https://doi.org/https://doi.org/10.1007/s10115-025-02676-z

Longxiang Jin et al.. "RaR: a clustering-based retrieve-and-rerank framework for knowledge graph reasoning in medical question answering." *Knowledge and Information Systems* (2026). https://doi.org/https://doi.org/10.1007/s10115-025-02676-z.

RaR: a clustering-based retrieve-and-rerank framework for knowledge graph reasoning in medical question answering
Longxiang Jin et al. · Knowledge and Information Systems · 2026
https://doi.org/https://doi.org/10.1007/s10115-025-02676-z