Lingxiao Zhao

Issues with Propagation Based Models for Graph-Level Outlier Detection

2020 · arXiv (Cornell University)

Graph-Level Outlier Detection (GLOD) is the task of identifying unusual graphs within a graph database, which received little attention compared to node-level detection in a single graph. As propagation based graph embedding by GNNs and …