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eight real-world GAD datasets

Emerging
1papers using it
2025first seen

The "eight real-world GAD datasets" refers to a collection of datasets used to evaluate semi-supervised graph anomaly detection methods by providing a diverse set of labeled normal nodes and unlabeled abnormal nodes within graph structures.

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Papers using eight real-world GAD datasets (1)

eight real-world GAD datasets — datasets — graph-learning