Abstract: In recent years, network representation learning (NRL) has attracted increasing attention due to its efficiency and effectiveness to analyze network structural data. NRL aims to learn ...
Abstract: In the context of the Internet of Things (IoT), edge nodes often face constraints in computational and storage resources, making dimensionality reduction of high-dimensional raw traffic ...