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} }