An adversarial variational graph autoencoder with contrastive learning for robust anomaly detection in large scale attributed networks.

Nadhem Sultan Ebrahim

Wasim Khan Nadhem Sultan Ebrahim Mohammad Ishrat Hasan Alkahtani Theyazn H. H. Aldhyani An adversarial variational graph autoencoder with contrastive learning for robust anomaly detection in large scale attributed networks. 2026 December 1 13 J. Big Data 1 https://doi.org/10.1186/s40537-025-01342-z db/journals/jbd/jbd13.html#KhanEIAA26 streams/journals/jbd

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Wasim Khan Nadhem Sultan Ebrahim ANOGAT-Sparse-TL: A hybrid framework combining sparsification and graph attention for anomaly detection in attributed networks using the optimized loss function incorporating the Twersky loss for improved robustness. 113144 2025 311 Knowl. Based Syst. https://doi.org/10.1016/j.knosys.2025.113144 db/journals/kbs/kbs311.html#KhanE25 streams/journals/kbs

Nadhem Sultan Ebrahim Mohammad Tabrez Quasim EMCSS: efficient multi-channel and time-slot scheduling. 2879-2890 2021 27 Wirel. Networks 4 https://doi.org/10.1007/s11276-021-02620-3 db/journals/winet/winet27.html#EbrahimQ21

Theyazn H. H. Aldhyani Abdullah Mohammed Alharthi Hasan Alkahtani Mohammed Alsaadi Fahad S. Altuwaijri Mourad Elloumi Mohammad Ishrat Wasim Khan Mohammad Tabrez Quasim