In this paper, we focus on enabling the deep learning model to learn both short-term and long-term spatial-temporal dependencies for Significant Wave Height (SWH) prediction. A Wavelet Graph Neural Network (WGNN) approach is proposed. This paper won the BDAI 2021 Best Presentation award.