Abstract: Geometric deep learning (GDL) models have demonstrated a great potential for the analysis of non-Euclidian data. They are developed to incorporate the geometric and topological information ...
Abstract: Multimedia data have rich semantic knowledge, and cross-modal retrieval (CMR) methods are able to explore their correlations. Graph neural networks (GNN) can represent complex connection ...