Recent augmentation-based methods showed that message-passing (MP) neural networks often perform poorly on low-degree nodes, leading to degree biases due to a lack of messages reaching low-degree ...

Abstract: Dynamic graph data can not only reveal the rules of network evolution, but also contain a large amount of personal privacy information. The degree of nodes is an important indicator to ...

Abstract: The multi-agent controllability is intrinsically affected by the network topology and the selection of leaders. A focus of exploring this problem is to uncover the relationship between the ...