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Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation Conference paper
Cai, Jinyu, Zhang, Yunhe, Lu, Zhoumin, Guo, Wenzhong, Ng, See Kiong. Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation[C]:Association for Computing Machinery, Inc, 2024, 5537-5546.
Authors:  Cai, Jinyu;  Zhang, Yunhe;  Lu, Zhoumin;  Guo, Wenzhong;  Ng, See Kiong
Favorite | TC[Scopus]:0 | Submit date：2024/12/05
Anomaly Detection  Federated Learning  Graph Neural Networks  Unsupervised Learning  
Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph-and Attention-Based Approach Journal article
Guo, Xianwei, Huang, Fangwan, Yang, Dingqi, Tu, Chunyu, Yu, Zhiyong, Guo, Wenzhong. Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph-and Attention-Based Approach[J]. IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 32(2), 1631-1644.
Authors:  Guo, Xianwei;  Huang, Fangwan;  Yang, Dingqi;  Tu, Chunyu;  Yu, Zhiyong; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:3.0/3.6 | Submit date：2024/02/22
Mobile Crowdsensing  Spatiotemporal Fracture Data Inference  Graph Attention Networks  Transformer