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This is a PyTorch implementation of the GraphCTA algorithm, which tries to address the domain adaptation problem without accessing the labelled source graph. It performs model adaptation and graph ...

Abstract: Human motor learning is a neural process essential for acquiring new motor skills and adapting existing ones, which is fundamental to everyday activities. Neurological disorders such as ...

Scaffold proteins have an important role in regulating immune-cell signalling. This Review provides an overview of the numerous functions that have been attributed to scaffold proteins, and discusses ...

Abstract: This article is concerned with the outlier-resistant state estimation problem for industrial pipe networks (PNs). PN signals, e.g., pressure and temperature, are modeled as low-pass ...

Doctors order a blood urea nitrogen (BUN) test to measure the amount of urea nitrogen in your blood. It helps them see how well your kidneys are working. A BUN test measures how much blood urea ...

The emerging graph neural networks (GNNs) have demonstrated impressive performance on the node classification problem in complex networks. However, existing GNNs are mainly devised to classify nodes ...