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, ...
Dear Doctors: I am 88 and have had double vision for 10 years. A prescription for glasses with prism lenses corrected the problem. I recently had cataract surgery, and my distance vision improved, but ...
Abstract: Missing data in time series is a pervasive problem that serves as obstacles for subsequent traffic data analysis. Consequently, extensive research works have been conducted on traffic ...
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