most citedGraph Anomaly Detection with Graph Neural Networks: Current Status and Challenges

4 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

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…