Shuling Yang

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction

Inductive relation prediction (IRP)---where entities can be different during training and inference---has shown great power for completing evolving knowledge graphs. Existing works mainly focus on using graph neural networks (GNNs) to learn the representation of the subgraph induced from the target…