Training Graph Neural Networks (GNNs) on large-scale graphs in the deep learning era can be expensive.While snoop snacks graph condensation has recently emerged as a promising approach through which to reduce training cost by compressing large graphs into smaller ones and for preserving most knowledge, its capability in treating different node subg
Cybersecurity attacks can arise from internal and external sources.The attacks perpetrated by top bar mega internal sources are also referred to as insider threats.These are a cause of serious concern to organizations because of the significant damage that can be inflicted by malicious insiders.In this paper, we propose an approach for insider thre
The oil pipeline network requires periodic monitoring to detect pipeline damages, which may cause oil leakage with severe environmental contamination.These damages can be generated by interference from third parties such as construction works, sabotage, vandalism, excavations, and illegal oil theft.To detect the oil pipeline damages, it can be used