Mr. Li received the B.E degree in school of internet of things engineering from Jiangnan University, Wuxi, China. He is currently pursuing the Master degree.
His research interest is computer vision.

Lingyu Wu received the B.E. degree in Department of Electronic Engineering, from Fudan University in 2022. He is currently pursuing the Master degree. His research interest is hypergraph neural networks and semi-supervised learning on graphs.

Mr. Wang received the B.E degree in school of internet of things engineering from Jiangnan University, Wuxi, China. He is currently pursuing the Master degree.
His research interest is hypergraph neural network.

Junchi Li received the B.S degree in instrument science and technology from Shanghai Jiao Tong University, Shanghai, China, in 2021. He is currently pursuing master’s degree in the School of Imformation Science and Technology, Fudan University. His research interests include evolutionary game theory, ZD-strategies and complex networks and their applications.

Miss Ji received the B.E. degree in Department of Electronic Engineering, from Fudan University, Shanghai, China. She is currently pursuing her Ph.D. degree without the master degree.  Her research interest is formation control of multi-agent system.

Pengtao Chen received the B.S degree in Automation from Zhejiang University of Technology, Hangzhou, China, in 2022. He is currently a PhD student at CAN Lab, Department of Electronic Engineering, Fudan University. His research interests include causal inference, graph data mining, etc. And his homepage is as follows: https://peyton-chen.github.io/homepage/.

Publications:
[1] Wang J, Chen P, Ma B, et al. Sampling subgraph network with application to graph classification[J]. IEEE Transactions on Network Science and Engineering, 2021, 8(4): 3478-3490.

[2] Wang J, Chen P, Yu S, et al. Tsgn: Transaction subgraph networks for identifying ethereum phishing accounts[C]//International Conference on Blockchain and Trustworthy Systems. Springer, Singapore, 2021: 187-200.

[3] Wang J, Chen P, Xie Y, et al. Broad Learning Based on Subgraph Networks for Graph Classification[M]//Graph Data Mining. Springer, Singapore, 2021: 49-71.

[4] Wang J, Chen P, Xu X, et al. TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum[J]. arXiv preprint arXiv:2208.12938, 2022.