STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
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3 creative Excel projects anyone can try this weekend (July 3-5)
Transform everyday spreadsheet data into interactive maps, visual heat maps, and infographic-style charts using built-in ...
AI is transforming 3D printing by making design as intuitive as conversation, shifting the industry's focus to seamless ...
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, ...
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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