Depending on the underlying graph, you also need to handle cycles intelligently. In social networks, mutual relationships are ...

Abstract: Unsupervised graph anomaly detection aims to identify nodes that deviate from typical behaviors in graphs. Existing approaches can be briefly categorized into two main groups, namely, ...

Graph Neural Networks (GNNs) have demonstrated strong potential for identifying software vulnerabilities by leveraging the structured representation of code as graphs. In this paper, we propose a ...