From 0cf57f08f87e721e06b8f32ab31edf8197d8df3b Mon Sep 17 00:00:00 2001 From: jwwthu <41528807+jwwthu@users.noreply.github.com> Date: Tue, 31 Oct 2023 10:35:11 +0800 Subject: [PATCH] Update README.md --- README.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/README.md b/README.md index ffedadb..66510aa 100644 --- a/README.md +++ b/README.md @@ -29,6 +29,10 @@ The list would be updated monthly. ## 2023 ### Journal +* Li K, Zhou H, Tu Z, et al. AT-GCN: A DDoS attack path tracing system based on attack traceability knowledge base and GCN[J]. Computer Networks, 2023, 236: 110036. [Link](https://www.sciencedirect.com/science/article/pii/S1389128623004814) +* Guo H, Zhou Z, Zhao D, et al. EGNN: Energy-efficient anomaly detection for IoT multivariate time series data using graph neural network[J]. Future Generation Computer Systems, 2024, 151: 45-56. [Link](https://www.sciencedirect.com/science/article/pii/S0167739X23003606) +* Zhou X, Zhang J, Wen C K, et al. Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers[J]. IEEE Transactions on Signal Processing, 2023, 71: 3458-3473. [Link](https://ieeexplore.ieee.org/abstract/document/10272020/) +* Zhang A, Zhang B, Bi W, et al. Multi-UAV task allocation based on GCN-inspired binary stochastic L-BFGS[J]. Computer Communications, 2023. [Link](https://www.sciencedirect.com/science/article/pii/S0140366423003493) * He Y, Zhong X, Gan Y, et al. A DDPG Hybrid of Graph Attention Network and Action Branching for Multi-Scale End-Edge-Cloud Vehicular Orchestrated Task Offloading[J]. IEEE Wireless Communications, 2023. [Link](https://ieeexplore.ieee.org/abstract/document/9992173/) * Wang X, Fu Z, Li X. A Graph Deep Learning-based Fault Detection and Positioning Method for Internet Communication Networks[J]. IEEE Access, 2023. [Link](https://ieeexplore.ieee.org/abstract/document/10243017/) * Wang Z, Zhou Y, Zou Y, et al. A graph neural network learning approach to optimize ris-assisted federated learning[J]. IEEE Transactions on Wireless Communications, 2023. [Link](https://ieeexplore.ieee.org/abstract/document/10032291/) [Code](https://github.com/XiaoWangya/GNNforOTAFL.git) @@ -118,6 +122,11 @@ The list would be updated monthly. * Ren G, Cheng G, Fu N. Accurate Encrypted Malicious Traffic Identification via Traffic Interaction Pattern Using Graph Convolutional Network[J]. Applied Sciences, 2023, 13(3): 1483. [Link](https://www.mdpi.com/2089532) ### Conference +* Ye M, Liang X, Pan C, et al. Channel Estimation for mmWave Massive MIMO Systems Using Graph Neural Networks[C]//2023 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2023: 1-5. [Link](https://ieeexplore.ieee.org/abstract/document/10233621/) +* Kim D, Song S. Power Allocation for Device-to-Device Interference Channel Using Truncated Graph Transformers[C]//2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom). IEEE, 2023: 109-114. [Link](https://ieeexplore.ieee.org/abstract/document/10266403/) [Code](https://github.com/dhkimac/Truncated-Graph-Transformer) +* Theodoropoulos T, Makris A, Psomakelis E, et al. GNOSIS: Proactive Image Placement Using Graph Neural Networks & Deep Reinforcement Learning[C]//2023 IEEE 16th International Conference on Cloud Computing (CLOUD). IEEE, 2023: 120-128. [Link](https://ieeexplore.ieee.org/abstract/document/10255001/) +* Zhang L, Tan L, Shi H, et al. Malicious Traffic Classification for IoT based on Graph Attention Network and Long Short-Term Memory Network[C]//2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2023: 54-59. [Link](https://ieeexplore.ieee.org/abstract/document/10258187/) +* Li L, Chen H, Yeom S, et al. Network State Prediction with Attention-Based Graph Convolutional Network[C]//2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2023: 215-218. [Link](https://ieeexplore.ieee.org/abstract/document/10258191/) * El Kamel A. A GNN-Based Rate Limiting Framework for DDoS Attack Mitigation in Multi-Controller SDN[C]//2023 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2023: 893-896. [Link](https://ieeexplore.ieee.org/abstract/document/10218204/) * Guo Y, Wu Q, She H. A Routing Optimization Policy Using Graph Convolution Deep Reinforcement Learning[C]//2023 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2023: 1-6. [Link](https://ieeexplore.ieee.org/abstract/document/10233329/) * Bian Y, Sun Y, Zhai M, et al. Dependency-Aware Task Scheduling and Offloading Scheme based on Graph Neural Network For MEC-Assisted Network[C]//2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2023: 1-6. [Link](https://ieeexplore.ieee.org/abstract/document/10233785/) @@ -161,6 +170,7 @@ The list would be updated monthly. * Perera T, Alapallu S, Fang Y, et al. Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. [Link](https://ieeexplore.ieee.org/abstract/document/10118726/) [Code](https://github.com/tharaka-perera/flex-net) ### Preprint +* Das S, NaderiAlizadeh N, Ribeiro A. Learning State-Augmented Policies for Information Routing in Communication Networks[J]. arXiv preprint arXiv:2310.00248, 2023. [Link](https://arxiv.org/abs/2310.00248) * Li J, Ye M, Huang L, et al. An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning[J]. arXiv preprint arXiv:2305.10441, 2023. [Link](https://arxiv.org/abs/2305.10441) * Kang C, Woo J, Hong J W K. Bitcoin Double-Spending Attack Detection using Graph Neural Network[J]. arXiv preprint arXiv:2304.13935, 2023. [Link](https://arxiv.org/abs/2304.13935) * Almasan P, Suárez-Varela J, Lutu A, et al. Enhancing 5G Radio Planning with Graph Representations and Deep Learning[J]. arXiv preprint arXiv:2309.03603, 2023. [Link](https://arxiv.org/abs/2309.03603)