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} }