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 ...
Abstract: This work presents a three-dimensional cone-shaped carbon neural electrode array that achieves non-invasive, self-adaptive contact with the cortical surface. Using the ultraviolet laser ...
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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