Towards Reliable GNNs: Adversarial Calibration Learning for Confidence Estimation.
Yilong Wang|Yoo Kyung Jeong|Jiahao Zhang|Min Song|Jiahao Zhang|Min Song|Tianxiang Zhao|Suhang Wang
| Anthology ID: | DBLP:conf/cikm/0001Z0W25 |
|---|---|
| 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: | 3166-3176 |
| URL: | https://doi.org/10.1145/3746252.3761232 |
| DOI: | https://doi.org/10.1145/3746252.3761232 |
| DBLP: | conf/cikm/0001Z0W25 |
| BibTeX: |
@inproceedings{wang-2025-towards,
author = {Yilong Wang and
Yoo Kyung Jeong and
Jiahao Zhang and
Min Song and
Jiahao Zhang and
Min Song and
Tianxiang Zhao and
Suhang Wang},
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 = {{Towards Reliable GNNs: Adversarial Calibration Learning for Confidence Estimation}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {3166--3176},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761232},
doi = {https://doi.org/10.1145/3746252.3761232}
}