| Identity inference on blockchain using graph neural network J Shen, J Zhou, Y Xie, S Yu, Q Xuan Blockchain and Trustworthy Systems: Third International Conference, BlockSys …, 2021 | 31 | 2021 |
| Ponzi scheme detection in ethereum transaction network S Yu, J Jin, Y Xie, J Shen, Q Xuan Blockchain and Trustworthy Systems: Third International Conference, BlockSys …, 2021 | 26 | 2021 |
| Temporal-amount snapshot multigraph for ethereum transaction tracking Y Xie, J Jin, J Zhang, S Yu, Q Xuan Blockchain and Trustworthy Systems: Third International Conference, BlockSys …, 2021 | 11 | 2021 |
| Phishing fraud detection on ethereum using graph neural network P Li, Y Xie, X Xu, J Zhou, Q Xuan International Conference on Blockchain and Trustworthy Systems, 362-375, 2022 | 9 | 2022 |
| Graph data mining: Algorithm, security and application Q Xuan, Z Ruan, Y Min Springer, 2021 | 8 | 2021 |
| Understanding ethereum transactions via network approach Y Xie, J Zhou, J Wang, J Zhang, Y Sheng, J Wu, Q Xuan Graph Data Mining: Algorithm, Security and Application, 155-176, 2021 | 8 | 2021 |
| Adversarial attacks on graphs: How to hide your structural information Y Shan, J Zhu, Y Xie, J Wang, J Zhou, B Zhou, Q Xuan Graph Data Mining: Algorithm, Security and Application, 93-120, 2021 | 3 | 2021 |
| Broad learning based on subgraph networks for graph classification J Wang, P Chen, Y Xie, Y Shan, Q Xuan, G Chen Graph Data Mining: Algorithm, Security and Application, 49-71, 2021 | 3 | 2021 |
| Time-Series Snapshot Network for Partner Recommendation: A Case Study on OSS Y Xie, J Chen, J Zhang, X Shu, Q Xuan IEEE Transactions on Computational Social Systems 9 (4), 1048-1059, 2021 | 2 | 2021 |
