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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…
cs.LG2022★ 3 cited
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks
Yong-Min Shin, Sun-Woo Kim, Won-Yong Shin
Aside from graph neural networks (GNNs) attracting significant attention as a powerful framework revolutionizing graph representation learning, there has been an increasing demand…