GEL detects anomalous nodes by scoring evidential uncertainty from feature and topology reconstruction, reporting gains on four of five benchmark datasets.
Zemel, and John P
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Graph Evidential Learning for Anomaly Detection
GEL detects anomalous nodes by scoring evidential uncertainty from feature and topology reconstruction, reporting gains on four of five benchmark datasets.