The GripNet is an effective and efficient framework to learn node representations on heterogeneous graphs (or Knowledge Graphs) for the downstream (multi-relational) link prediction, (multi-class) node classification, and visualization. It is also a natural framework for data integration (i.e. integrating multiple datasets).
We define super-graph to describe the data representation and the information propagation processes within the GripNet models. Each super-nodes on a super-graph
