Problem Statement There are ‘N’ tasks, labeled from ‘0’ to ‘N-1’. Each task can have some prerequisite tasks which need to be completed before it can be scheduled. Given the number of tasks and a list ...

Graph Convolutional Networks (GCNs) have emerged as a leading approach for semi-supervised node classification. However, due to the uneven distribution of labeled nodes in graphs, only a limited ...

Researchers have been paying more attention to hyperspectral image (HSI) classification based on semi-supervised superpixel-level graph convolutional networks (SGCNs) due to their aggregation ability ...

In this work, we propose the Dual Balanced Augmented Topological Non-coding RNA Disease Association (DBATNDA) model. DBATNDA constructs an Interaction Dual Graph (IDG) with LDAs, MDAs, and LMIs as ...