Peng Hongwu, Ran Ran, Luo Yukui, Zhao Jiahui, Huang Shaoyi, Thorat Kiran, Geng Tong, Wang Chenghong Wang, Xu Xiaolin, Wen Wujie, and Ding Caiwen. LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. Retrieved from https://par.nsf.gov/biblio/10491575.

Peng Hongwu, Ran Ran, Luo Yukui, Zhao Jiahui, Huang Shaoyi, Thorat Kiran, Geng Tong, Wang Chenghong Wang, Xu Xiaolin, Wen Wujie, & Ding Caiwen. LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. Retrieved from https://par.nsf.gov/biblio/10491575.

Peng Hongwu, Ran Ran, Luo Yukui, Zhao Jiahui, Huang Shaoyi, Thorat Kiran, Geng Tong, Wang Chenghong Wang, Xu Xiaolin, Wen Wujie, and Ding Caiwen. "LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference". Country unknown/Code not available: 37th Conference on Neural Information Processing Systems (NeurIPS 2023). https://par.nsf.gov/biblio/10491575.

@article{osti_10491575,
place = {Country unknown/Code not available}, title = {LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference}, url = {https://par.nsf.gov/biblio/10491575}, abstractNote = {}, journal = {}, publisher = {37th Conference on Neural Information Processing Systems (NeurIPS 2023)}, author = {Peng Hongwu and Ran Ran and Luo Yukui and Zhao Jiahui and Huang Shaoyi and Thorat Kiran and Geng Tong and Wang Chenghong Wang and Xu Xiaolin and Wen Wujie and Ding Caiwen}, }