In node classification using graph neural networks (GNNs), a typical mod...
In graph neural networks (GNNs), both node features and labels are examp...
Many graph neural networks have been developed to learn graph representa...
Heterogeneous graphs have multiple node and edge types and are semantica...
A heterogeneous graph consists of different vertices and edges types.
Le...