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Shao-Yuan Wu

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Conference Aug 2026

Are Temporal Graph Based Intrusion Detection Results Trustworthy? A Dataset Audit and Evaluation Framework

Temporal Graph Neural Networks (TGNNs) have been increasingly applied to network intrusion detection (NID), with some studies reporting accuracy exceeding 99%. This paper argues that such performance can be an artifact of dataset construction flaws rather than genuine model capability. We conduct an empirical audit of...

Yin-Ning Zhang, Sait Suer, S. M. T. F. A. Chowdhoury et al. · 0 citations

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