Abstract Intrusion detection systems get more attention to secure the computers and network systems. Researchers propose different intrusion using machine learning techniques. However, massive amount of data that contain irrelevant redundant features is still challenging The redundancy irrelevance may slow processing time decrease prediction performance. This paper proposes a Heterogeneous Ense...

Recently, deep neural network models for graph-structured data have been demonstrated to be influential in recommendation systems. Graph Neural Network (GNN), which can generate high-quality embeddings by capturing information, is convenient the recommendation. However, most existing GNN mainly focus on homogeneous graph. They cannot characterize heterogeneous and complex system. Meanwhile, it ...