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Zitao Zhang
Zitao Zhang
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xFraud: explainable fraud transaction detection
SX Rao, S Zhang, Z Han, Z Zhang, W Min, Z Chen, Y Shan, Y Zhao, ...
arXiv preprint arXiv:2011.12193, 2020
462020
Graphframex: Towards systematic evaluation of explainability methods for graph neural networks
K Amara, R Ying, Z Zhang, Z Han, Y Shan, U Brandes, S Schemm, ...
arXiv preprint arXiv:2206.09677, 2022
422022
Degnn: Improving graph neural networks with graph decomposition
X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, SX Rao, H Ren, Y Shan, ...
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
252021
Bright-graph neural networks in real-time fraud detection
M Lu, Z Han, SX Rao, Z Zhang, Y Zhao, Y Shan, R Raghunathan, ...
Proceedings of the 31st ACM International Conference on Information …, 2022
162022
Graph neural networks in real-time fraud detection with lambda architecture
M Lu, Z Han, Z Zhang, Y Zhao, Y Shan
arXiv preprint arXiv:2110.04559, 2021
62021
Suspicious massive registration detection via dynamic heterogeneous graph neural networks
SX Rao, S Zhang, Z Han, Z Zhang, W Min, M Cheng, Y Shan, Y Zhao, ...
arXiv preprint arXiv:2012.10831, 2020
62020
Degnn: characterizing and improving graph neural networks with graph decomposition
X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, X Rao, H Ren, Y Shan, ...
arXiv preprint arXiv:1910.04499, 2019
42019
Modelling graph dynamics in fraud detection with" Attention"
SX Rao, C Lanfranchi, S Zhang, Z Han, Z Zhang, W Min, M Cheng, ...
arXiv preprint arXiv:2204.10614, 2022
32022
Behavioral graph fraud detection in E-commerce
H Yin, Z Zhang, Z Wang, Y Özyurt, W Liang, W Dong, Y Zhao, Y Shan
2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-8, 2022
2022
xFraud: Explainable fraud transaction detection on heterogeneous graphs
S Rao, S Zhang, Z Han, Z Zhang, W Min, Z Chen, Y Shan, Y Zhao, ...
arXiv, 2011.12193, 2020
2020
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