mala-lab / GGAD

This code is for paper "Generative Semi-supervised Graph Anomaly Detection"
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About Performance Metrics #3

Open wakeupll opened 1 week ago

wakeupll commented 1 week ago

Dear Authors,

In Table2, you provide AUC and AP. How to get the final values? 1.End epoch? 2.Cross best evaluate?

Kind regard!

fengduqianhe commented 6 days ago

Hi wakeupll, thanks for your question, because GGAD studies semi-supervised setting with only normal node labeled, there is no validation set here. After the anomalies are generated it becomes a classification problem, the final values can be obtained by observing the minimum cls loss function and end epoch in case of overfitting.