MV-FGAD: Towards Efficient and Effective Federated Graph Anomaly Detection via Multi-view Learning

Junyi Yan, KE LIANG, Hao Yu, Meng Liu, Hao Tan, Tianrui Liu, Jun-Jie Huang, Xinwang Liu

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