4 citations · 4 across the 2 of their papers we have counts for
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cs.LG2024
Toward Reasoning on the Boundary: A Mixup-based Approach for Graph Anomaly Detection
Hwan Kim, Junghoon Kim, Sungsu Lim
While GNN-based detection methods excel at identifying overt outliers, they often struggle with boundary anomalies -- subtly camouflaged nodes that are difficult to distinguish fro…
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…
cs.LG2022★ 4 cited
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges
Hwan Kim, Byung Suk Lee, Won-Yong Shin +1
Graphs are used widely to model complex systems, and detecting anomalies in a graph is an important task in the analysis of complex systems. Graph anomalies are patterns in a graph…