Junyou Zhu

My interests are:

• Graph Representation Learning
• Machine Learning
• Graph Neural Networks
• Power Grids
• Social Networks

For details on my publications please see my Google Scholar profile.

• Zhu, J., Gao, C., Yin, Z., Li, X., & Kurths, J. (2024). Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 4652-4663).
• Gao, C., Zhu, J., Zhang, F., Wang, Z., & Li, X. (2023). A novel representation learning for dynamic graphs based on graph convolutional networks. IEEE Transactions on Cybernetics, 53(6), 3599-3612.
• Zhu, J., Wang, C., Gao, C., Zhang, F., Wang, Z., & Li, X. (2022). Community detection in graph: An embedding method. IEEE Transactions on Network Science and Engineering, 9(2), 689-702.
• Wang, Z., Wang, C., Li, X., Gao, C., Li, X., & Zhu, J. (2022). Evolutionary Markov dynamics for network community detection. IEEE Transactions on Knowledge and Data Engineering, 34(3), 1206-1220.
• Zhu, J., Li, X., Gao, C., Wang, Z., & Kurths, J. (2021). Unsupervised community detection in attributed networks based on mutual information maximization. New Journal of Physics, 23(11), 113016.
• Zhu, J., Luo, Z., Zhang, F., Wang, H., Wang, J., & Gao, C. (2021). Unsupervised dynamic network embedding using global information. In 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.