IEEE

Cooperative Spectrum Sensing Using Weighted Graph Sparsity

Abstract: Graph has been proven to be an emerging tool for spectrum sensing (SS), with detection performance closely related to the graph characteristics. Existing graph-based SS has been mainly ...
IEEE

Dynamic Spatio-Temporal Attention-Based Graph Neural Network Using Ordinary Differential Equation and Multi-Scale Semantics for Traffic Prediction

Abstract: In the fields of traffic flow prediction and other intelligent forecasting applications, the technology of multivariate time series forecasting using graph neural networks (GNNs) is ...
C&EN

Learning Multidimensional Electronegativity of Selected Atom Types in Organic Molecules Using Graph Neural Networks

Department of Chemistry, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea Center for Quantum Technology, Korea Institute of Science and Technology (KIST), Seoul ...