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.
40 stars
4 watching
11 forks
Language: Python
last commit: over 1 year ago
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