HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge.
Sirui Huang|Hanqian Li|Yanggan Gu|Xuming Hu|Qing Li|Guandong Xu
| Anthology ID: | DBLP:conf/sigir/HuangLGHL025 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1218-1228 |
| URL: | https://doi.org/10.1145/3726302.3730002 |
| DOI: | https://doi.org/10.1145/3726302.3730002 |
| DBLP: | conf/sigir/HuangLGHL025 |
| BibTeX: |
@inproceedings{huang-2025-hyperg,
author = {Sirui Huang and
Hanqian Li and
Yanggan Gu and
Xuming Hu and
Qing Li and
Guandong Xu},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {1218--1228},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730002},
doi = {https://doi.org/10.1145/3726302.3730002}
}