Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation.

Yoonhyuk Choi|Jiho Choi|Taewook Ko|Chong-Kwon Kim


Anthology ID:DBLP:conf/wsdm/ChoiCKK25
Volume:Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
Year:2025
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:50-59
URL:https://doi.org/10.1145/3701551.3703487
DOI:https://doi.org/10.1145/3701551.3703487
DBLP:conf/wsdm/ChoiCKK25
BibTeX:
@inproceedings{choi-2025-mitigating, author = {Yoonhyuk Choi and Jiho Choi and Taewook Ko and Chong-Kwon Kim}, editor = {Wolfgang Nejdl and S\"{o}ren Auer and Meeyoung Cha and Marie-Francine Moens and Marc Najork}, title = {{Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation}}, booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}}, pages = {50--59}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701551.3703487}, doi = {https://doi.org/10.1145/3701551.3703487} }