FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework

20 February 2024

Papers citing "FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework"

2 / 2 papers shown

Title
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 67 193 0 31 May 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging Rui Yan Liangqiong Qu Qingyue Wei Shih-Cheng Huang Liyue Shen D. Rubin Lei Xing Yuyin Zhou FedML 62 86 0 17 May 2022