Abstract: Video action recognition is a critical challenge in a wide range of practical applications. Most of the video recognition models are computationally expensive and energy intensive.

Abstract: In recent years, Graph Neural Networks (GNNs) have demonstrated strong adaptability to various real-world challenges, with architectures such as Vision GNN (ViG) achieving state-of-the-art ...