Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed ...
Abstract: This study introduces Starformer, a hybrid model combining Graph Neural Networks (GNNs) with a novel Series-Core Fusion (SC-Fusion) mechanism for urban traffic prediction. By leveraging GNNs ...
Abstract: Graph Neural Network (GNN) has been widely applied in multivariate time series forecasting due to its excellent relationship modeling capabilities. However, current methods still face ...
In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
Principal component analysis summarizes high dimensional data into a few dimensions. Each dimension is called a principal component and represents a linear combination of the variables. The first ...
Optimizer for HotM (Heart of the Mountain) powder distribution made as of Hypixel Skyblock 0.23.3. A python version of at least 3.9 is expected to work version 3.13.5 is recommended for best stability ...
Mathematics of Machine Learning provides a rigorous yet accessible introduction to the mathematical underpinnings of machine learning, designed for engineers, developers, and data scientists ready to ...
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