diff --git a/README.md b/README.md
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* Zhong L, Chen Z, Cheng H, et al. Lightweight Federated Graph Learning for Accelerating Classification Inference in UAV-assisted MEC Systems[J]. IEEE Internet of Things Journal, 2024. [Link](https://ieeexplore.ieee.org/abstract/document/10433561/)
### Conference
+* Ngo, Duc-Thinh, et al. FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning.[C]// 2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2024. [Link](https://ieeexplore.ieee.org/abstract/document/10817182)
* Marfo W, Tosh D K, Moore S V. Enhancing network anomaly detection using graph neural networks[C]//2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet). IEEE, 2024: 1-10. [Link](https://ieeexplore.ieee.org/abstract/document/10578278/)
* Xie Z, Yang B, Huang J, et al. Locating the Root Cause of Poor Coverage in Mobile Communication Networks Based on Spatio-temporal Graph Message Propagation[C]//2024 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2024: 1472-1477. [Link](https://ieeexplore.ieee.org/abstract/document/10592423/)
* Liao J, Wen J, Kang J, et al. Optimizing Information Propagation for Blockchain-empowered Mobile AIGC: A Graph Attention Network Approach[C]//2024 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2024: 685-690. [Link](https://ieeexplore.ieee.org/abstract/document/10592330/)