A bi-directional curriculum module that trains two copies of any graph anomaly detector on opposite difficulty orderings and fuses their scores improves detection on seven benchmarks.
Can abnormality be detected by graph neural networks? In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI),
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Bi-directional Curriculum Learning for Graph Anomaly Detection: Dual Focus on Homogeneity and Heterogeneity
A bi-directional curriculum module that trains two copies of any graph anomaly detector on opposite difficulty orderings and fuses their scores improves detection on seven benchmarks.