Drug–target interaction (DTI) prediction is a fundamental computational task in drug discovery. Despite recent advancements, existing approaches often suffer from data sparsity and fail to capture the ...

In recent years, supervised learning has seen notable progress in research on aircraft target detection using synthetic aperture radar (SAR) images, but its performance is heavily restricted by the ...

We show that the classification performance of graph convolutional networks (GCNs) is related to the alignment between features, graph, and ground truth, which we quantify using a subspace alignment ...