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 ...

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 ...