To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

Abstract: Network threat detection and identification remain fundamental tasks in cyberspace defence. Existing graph-based detection methods exhibit limited capabilities in transformability and ...

Abstract: Graph Neural Networks (GNNs) have recently achieved significant success in processing non-Euclidean datasets, such as social and protein-protein interaction networks. However, these datasets ...