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 ...
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, ...
The Indian Legal KAG System is an advanced AI-powered platform that combines Knowledge Augmented Generation (KAG) with constitutional law expertise to provide comprehensive legal document analysis, ...
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