Graph-Anomaly-Loss

Graph anomaly detector

This repository provides code for training a model to detect anomalies in graph data using pattern mining and feature learning.

TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.

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40 stars
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11 forks
Language: Python
last commit: about 3 years ago
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