| 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 | 42 | 2020 |
| 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 | 31 | 2022 |
| 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 | 25 | 2021 |
| 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 | 12 | 2022 |
| 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 | 6 | 2021 |
| 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 | 6 | 2020 |
| 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 | 4 | 2019 |
| 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 | 3 | 2022 |
| 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 |
