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

4 citations · 4 across the 1 of their papers we have counts for

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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…