26 citations · 59 across the 9 of their papers we have counts for
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3 papers · 1 filter
cs.SI2023★ 8 cited
Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach
Dahee Kim, Junghoon Kim, Sungsu Lim +1
Identifying cohesive subgraphs in hypergraphs is a fundamental problem that has received recent attention in data mining and engineering fields. Existing approaches mainly focus on…
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…