Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding. LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]
@inproceedings{PengRLZHTGWXWD23,
title = {LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference},
author = {Hongwu Peng and Ran Ran and Yukui Luo and Jiahui Zhao and Shaoyi Huang and Kiran Thorat and Tong Geng and Chenghong Wang and Xiaolin Xu and Wujie Wen and Caiwen Ding},
year = {2023},
url = {http://papers.nips.cc/paper_files/paper/2023/hash/41bd71e7bf7f9fe68f1c936940fd06bd-Abstract-Conference.html},
researchr = {https://researchr.org/publication/PengRLZHTGWXWD23},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}