Since their introduction by Kipf and Welling in 2017, a primary use of graph convolutional networks is transductive node classification, where missing labels are inferred within a single observed ...

Circular RNAs (circRNAs) play pivotal roles in various biological processes and disease progression, particularly in modulating drug responses and resistance mechanisms. Accurate prediction of circRNA ...

Abstract: Mixup is a data augmentation method which can interpolate between existing data to create new samples. By enlarging the training distribution, it reduces the risk of over-fitting and ...

Voronoi diagrams are a type of tesselation pattern that emerges when every point in a plane is segmented into n cells through the computation of euclidean distances for a given set of n points. For ...

Graphs have been widely used to model relationships among data. For large graphs, excessive edge crossings make the display visually cluttered and thus difficult to explore. In this paper, we propose a ...

Abstract: Industrial Internet of Things (IIoT) empowers smart manufacturing by enabling real-time data collection, analysis, and optimization. Wire arc additive manufacturing (WAAM), as a smart ...