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Abstract: Graph filters are ubiquitous for processing data over graphs. However, most filters obtained from data are point-estimates and may be sensitive to changes in topology or data distributions.

Abstract: This study introduces a novel approach that integrates dynamic Bayesian network with attention based spatio-temporal graph convolutional network to forecast railway train delays, capturing ...

This repository contains the official implementation for Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language Models. The paper introduces two main components: ...