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: State Space Models (SSMs) and Graph Neural Networks (GNNs) have been demonstrated to be highly effective in visual tasks. Existing vision SSMs capture features in a focused manner through a ...
Abstract: Automatic assessment of dysarthria remains a highly challenging task due to the high heterogeneity in acoustic signals and the limited data. Currently, research on the automatic assessment ...
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