Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning.
Weili Shi|Xueying Yang|Xujiang Zhao|Haifeng Chen|Zhiqiang Tao|Sheng Li
| Anthology ID: | DBLP:conf/cikm/ShiYZCTL23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2270-2279 |
| URL: | https://doi.org/10.1145/3583780.3614797 |
| DOI: | https://doi.org/10.1145/3583780.3614797 |
| DBLP: | conf/cikm/ShiYZCTL23 |
| BibTeX: |
@inproceedings{shi-2023-calibrate,
author = {Weili Shi and
Xueying Yang and
Xujiang Zhao and
Haifeng Chen and
Zhiqiang Tao and
Sheng Li},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {2270--2279},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614797},
doi = {https://doi.org/10.1145/3583780.3614797}
}