LinkGPT: Leveraging Large Language Models for Enhanced Link Prediction in Text-Attributed Graphs.
Zhongmou He|Jing Zhu|Shengyi Qian|Joyce Chai|Danai Koutra
| Anthology ID: | DBLP:conf/cikm/He00CK25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 843-853 |
| URL: | https://doi.org/10.1145/3746252.3761287 |
| DOI: | https://doi.org/10.1145/3746252.3761287 |
| DBLP: | conf/cikm/He00CK25 |
| BibTeX: |
@inproceedings{he-2025-linkgpt,
author = {Zhongmou He and
Jing Zhu and
Shengyi Qian and
Joyce Chai and
Danai Koutra},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{LinkGPT: Leveraging Large Language Models for Enhanced Link Prediction in Text-Attributed Graphs}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {843--853},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761287},
doi = {https://doi.org/10.1145/3746252.3761287}
}