4 citations · 6 across the 3 of their papers we have counts for
3 papers
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…
cs.LG2021★ 2 cited
SOMTimeS: Self Organizing Maps for Time Series Clustering and its Application to Serious Illness Conversations
Ali Javed, Donna M. Rizzo, Byung Suk Lee +1
There is an increasing demand for scalable algorithms capable of clustering and analyzing large time series datasets. The Kohonen self-organizing map (SOM) is a type of unsupervise…