This is the code for SGIR, a semi-supervised framework for Graph Imbalanced Regression. Data imbalance is easily found in annotated data when the observations of certain continuous label values are ...

The goal of this repository is to provide an overview of knowledge graphs in the domain of biomedicine and of resources for their construction. This is achieved in four complementary ways: A survey ...

Abstract: Graph Neural Network (GNN) aggregates the neighborhood information into the node embedding and shows its powerful capability for graph representation learning in various application areas.