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Distributed Unsupervised Learning for Combinatorial User Assignment in mmWave Cell-Free Massive MIMO Using Graph Neural Networks2026 IEEE Transactions on Wireless Communications article Engineering Advanced MIMO Systems Optimization Open access
Bile Peng, Bihan Guo, Karl-Ludwig Besser, Luca Kunz, Zhengyang Li, Ramprasad Raghunath, +4 more
0citations -
Structack: Structure-based Adversarial Attacks on Graph Neural Networks2021 ACM Conference on Hypertext and Social Media (HT) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access
Hussain Hussain, Tomislav Đuričić, Elisabeth Lex, Denis Helić, Markus Strohmaier, Roman Kern
16citations -
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection2025 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) conference-paper Computer Science Network Security and Intrusion Detection Open access
Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Qi Hu, Yan Li, Chang Liu
4citations -
Multi-View Denoised Graph Collaborative Filtering for Third-Party Library Recommendation2026 International Joint Conference on Neural Networks (IJCNN) conference-paper Computer Science Recommender Systems and Techniques Open access
Yuxiang Kuang, Xiaoxiang Liao, Guosheng Kang, Ye Cao, Xiao Cui, Rong Hu, +1 more
0citations -
Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants2025 NAR Genomics and Bioinformatics article Biochemistry, Genetics and Molecular Biology Genomics and Rare Diseases Open access
Martin Danner, Matthias Begemann, Miriam Elbracht, Ingo Kurth, Jeremias Krause
3citations -
Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Genomics and Rare Diseases Open access
Martin Danner, Matthias Begemann, Miriam Elbracht, Ingo Kurth, Jeremias Krause
0citations