US Patent 11399037 Anomaly behavior detection in interactive networks

A system and method for detecting anomaly behavior in interactive networks are described. An attributed bipartite graph related problem is generated. A graph convolutional memory network is developed based on the generated problem. A loss function is further developed based on the developed graph convolutional memory network. The developed graph convolutional memory network is trained to learn interaction patterns between different components. Anomalies are detected based on the trained developed graph convolutional memory network.