Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
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Abstract: Cross-modal 3D shape retrieval is a crucial and widely applied task in the field of 3D vision. Its goal is to construct retrieval representations capable of measuring the similarity between ...
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A comprehensive, physics-based 3D fan simulator built with Python and Matplotlib. Features realistic blade dynamics, multiple fan types, interactive controls, and dynamic lighting effects.
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