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

Abstract: Graph Neural Networks (GNNs) process graph- structured data by learning features and patterns through neural networks, applied to tasks such as clustering, classification, and prediction.

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...