Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs.
Taiyan Zhang|Renchi Yang|Yurui Lai|Mingyu Yan|Xiaochun Ye|Dongrui Fan
| Anthology ID: | DBLP:conf/sigir/ZhangYLYYF25 |
|---|---|
| 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: | 698-708 |
| URL: | https://doi.org/10.1145/3726302.3730021 |
| DOI: | https://doi.org/10.1145/3726302.3730021 |
| DBLP: | conf/sigir/ZhangYLYYF25 |
| BibTeX: |
@inproceedings{zhang-2025-leveraging,
author = {Taiyan Zhang and
Renchi Yang and
Yurui Lai and
Mingyu Yan and
Xiaochun Ye and
Dongrui Fan},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs}},
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 = {698--708},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730021},
doi = {https://doi.org/10.1145/3726302.3730021}
}