Enhancing large language models for knowledge graph question answering via multi-granularity knowledge injection and structured reasoning path-augmented prompting.
Chuanyang Gong|Zhihua Wei|Wenhao Tao|Duoqian Miao
| Anthology ID: | DBLP:journals/ipm/GongWTM26 |
|---|---|
| Year: | 2026 |
| Venue: | Information Processing and Management |
| Pages: | 104614 |
| URL: | https://doi.org/10.1016/J.IPM.2026.104614 |
| DOI: | https://doi.org/10.1016/J.IPM.2026.104614 |
| DBLP: | journals/ipm/GongWTM26 |
| BibTeX: |
@article{gong-2026-enhancing,
author = {Chuanyang Gong and
Zhihua Wei and
Wenhao Tao and
Duoqian Miao},
title = {{Enhancing large language models for knowledge graph question answering via multi-granularity knowledge injection and structured reasoning path-augmented prompting}},
journal = {Information Processing and Management},
volume = {63},
number = {5},
pages = {104614},
year = {2026},
url = {https://doi.org/10.1016/J.IPM.2026.104614},
doi = {https://doi.org/10.1016/J.IPM.2026.104614}
}