26 citations · 59 across the 9 of their papers we have counts for
Showing 2023 · cs.LGShow all
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cs.LG2023★ 12 cited
Class Label-aware Graph Anomaly Detection
Junghoon Kim, Yeonjun In, Kanghoon Yoon +2
Unsupervised GAD methods assume the lack of anomaly labels, i.e., whether a node is anomalous or not. One common observation we made from previous unsupervised methods is that they…
cs.LG2023
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection
Hwan Kim, Junghoon Kim, Byung Suk Lee +1
Graph anomaly detection has attracted considerable attention from various domain ranging from network security to finance in recent years. Due to the fact that labeling is very cos…