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Stream-AD / MIDAS

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

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how to detect anomaly edges

zjf0822 opened this issue · comments

commented

hello, I have a question.
The output is anomaly score of edges,
but how to detect which edge is anomaly

And how to define the threashod of anomaly score

Thanks!

commented

You can consider edges with high scores as anomalous. Right now we have not experimented with threshold for anomaly scores but it can be user-defined or implemented based on the theorem in the paper.