The exponential increase in Internet of Things (IoT) devices coupled with 6G pushing
towards higher data rates and connected devices has sparked a surge in data …

The advance of deep learning has shown great potential in applications (speech, image,
and video classification). In these applications, deep learning models are trained by …

The advance of deep learning has shown great potential in applications (speech, image,
and video classification). In these applications, deep learning models are trained by …

Internet of things (or using its acronym IoT) refers to a set or sets of closely connected
devices that form a network through wireless or wired communication technology and work …

With the prosperity of the information era and the maturity of computer technology, artificial
intelligence has attracted much more attention. The emergence of Graph Neural Networks …

Graph neural networks (GNN) have shown outstanding applications in fields where data is
essentially represented as graphs (eg, chemistry, biology, and recommendation systems). In …

Deep learning has seen significant growth recently and is now applied to a wide range of
conventional use cases, including graphs. Graph data provides relational information …

Graph neural networks (GNNs) have been regarded as the basic model to facilitate deep
learning (DL) to revolutionize resource allocation in wireless networks. GNN-based models …

Convolutional neural networks (CNNs) have received widespread attention due to their
powerful modeling capabilities and have been successfully applied in natural language …

In recent years, people have become more interested in expanding deep learning methods
on graphs, and a lot of progress has been made in the field. Although traditional deep …