NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information
NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information explores A plug-and-play module that enhances graph anomaly detection by explicitly modeling neighbor information using spectral analysis, outperforming state-of-the-art methods.. Commercial viability score: 7/10 in Graph Anomaly Detection.
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