CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks

Munan Li, Xianshi Su, Runze Ma +3

Dynamic graphs are extensively employed for detecting anomalous behavior in nodes within the Internet of Things (IoT). Graph generative models are often used to address the issue o…