Publications of Xiangnan Feng

Feng, X., & Rutherford, A. (2023). The dynamic resilience of urban labour networks. Royal Society Open Science, 10(7), Article 230214. https://doi.org/10.1098/rsos.230214

Li, X., Wei, W., Zhang, R., Shi, Z., Zheng, Z., & Feng, X. (2023). Representation learning of enhanced graphs using random walk graph convolutional network. ACM Transactions on Intelligent Systems and Technology, 14(3), Article 46. https://doi.org/10.1145/3582841

Pang, B., Wei, W., Li, X., Feng, X., & Li, C. (2023). A representation-learning-based approach to predict stock price trend via dynamic spatiotemporal feature embedding. Engineering Applications of Artificial Intelligence, 126, Part A, Article 106849. https://doi.org/10.1016/j.engappai.2023.106849

Wei, W., & Feng, X. (2023). Graphical representation and hierarchical decomposition mechanism for vertex-cover solution space. Applied Mathematics and Computation, 458, Article 128264. https://doi.org/10.1016/j.amc.2023.128264

Li, C., Wei, W., Feng, X., & Liu, J. (2021). Research of motif-based similarity for link prediction problem. IEEE Access, 9, 66636–66645. https://doi.org/10.1109/ACCESS.2021.3077016

Li, X., Wei, W., Feng, X., Liu, X., & Zheng, Z. (2021). Representation learning of graphs using graph convolutional multilayer networks based on motifs. Neurocomputing, 464, 218–226. https://doi.org/10.1016/j.neucom.2021.08.028

Liu, X., Wei, W., Feng, X., Cao, X., & Sun, D. (2021). Graph classification based on skeleton and component features. Knowledge-Based Systems, 228, Article 107301. https://doi.org/10.1016/j.knosys.2021.107301

Yang, Q., Wei, W., Zhang, R., Pang, B., & Feng, X. (2022). Enhance ambiguous community structure via multi-strategy community related link prediction method with evolutionary process. arXiv, 2204.13301. https://doi.org/10.48550/arXiv.2204.13301