Wireless network devices can attain the required level of quality of service (QoS) and
maintain connectivity even after detaching from a current point of access. This detachment …

In the fast-changing technological landscape, novel applications are emerging with the
potential to reshape the world. These applications, while promising, impose stringent …

The interactions of users and items in recommender systems can be naturally modeled as
user-item bipartite graphs. The iterative propagation of graph neural networks (GNN) can …

The proliferation of homogeneous web services has necessitated the task of predicting
vacant Quality of Service (QoS) for service-oriented downstream tasks. Existing approaches …

With the overwhelming explosion of Web services, how to effectively predict unknown QoS
has become a key issue of differentiating large-scale similar or functionally equivalent Web …

The big volume of candidate Web services and their differences make it hard for developers
to discover a set of appropriate ones for mashup creation. Thus, recommending suitable …

In service recommender system, graph neural networks (GNNs) perform message passing
through diffusion mechanism based on user-service relationship graph. However, existing …

With rapid adoption in vertical industries and further assistance of edge computing, Internet
of Things (IoT) applications are experiencing phenomenal growth. However, the …

The user-centered service paradigm has attracted extensive attention from academia and
industry. It advocates taking customer requirements as the orientation, maximizing customer …

Along with the growth of the Internet comes a competitive environment among Internet
service providers. In this regard, quality of service (QoS) and customer's quality of …