KAIST researchers have developed a safety verification technology that uncovers roughly seven times more hidden ...

AI can write essays and code, but spreadsheets remain a weak spot. Researchers are building a new kind of model designed to ...

People who receive information on social media play a greater role in the spread of misinformation than research has ...

I never learned how to communicate my emotions properly, even with my closest friends. It was only when a friend of mine called to tell me about the immense pressure and struggles he was experiencing ...

X is boosting posts among mutual followers after finding that relationship data was missing from its algorithm, exposing the gap between predicting engagement and creating conversations people ...

Abstract: Influence maximization (IM) aims to select a seed set of users that maximizes the expected influence spread and is a fundamental problem in social network analysis. The dynamic and complex ...

tl;dr: We provably improve GNN expressivity by enhancing message passing with substructure encodings. Our method allows incorporating domain specific prior knowledge and can be used as a drop-in ...

In graph analysis, the need for labeled data presents a significant hurdle for traditional supervised learning methods, particularly within academic, social, and biological networks. To overcome this ...

Brain networks have attracted increasing attention due to the potential to better characterize brain dynamics and abnormalities in neurological and psychiatric conditions. Recent years have witnessed ...