Expensive optimization problem (EOP) widely exists in various significant real-world
applications. However, EOP requires expensive or even unaffordable costs for evaluating …

Federated Learning is a distributed, privacy-preserving machine learning model that is
gaining more attention these days. Federated Learning has a vast number of applications in …

Graph neural networks (GNNs) have achieved state-of-the-art performance on graph
classification tasks, which aim to predict the class labels of entire graphs and have …

Fake news was conventionally assumed to mean fabricated information published in
newspapers and other mass media. It was mostly done to increase the paper's sales and …

The wide range of social hot news events on the Internet has made the Internet have a great
impact on the public. However, there are few studies on Internet information. In order to …

Influence maximization (IM) is a problem of selecting the most influential vertices with a
limited budget under a given propagation model. A significant challenge faced by many …

Influence maximization (IM) aims to select a small number of seed users who can maximize
the influence of information spread in social networks. The influence maximization problem …