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} }