A survey that defines graph out-of-distribution detection and organizes more than 30 methods into enhancement, reconstruction, information propagation, and classification approaches.
Graph anomaly detection via multi-scale contrastive learn- ing networks with augmented view
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Out-of-Distribution Detection on Graphs: A Survey
A survey that defines graph out-of-distribution detection and organizes more than 30 methods into enhancement, reconstruction, information propagation, and classification approaches.