Graph neural networks (GNNs) have demonstrated significant advantages in handling data from non-Euclidean domains. Given the successful application of neural architecture search (NAS) in designing ...

To address these challenges, we propose a novel framework, generative artificial intelligence (GAI)-enhanced multimodal semantic communication (SemCom), referred to as G-MSC, designed to handle ...