Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs
Inductive link prediction---where entities during training and inference stages can be different---has been shown to be promising for completing continuously evolving knowledge graphs. Existing models of inductive reasoning mainly focus on predicting missing links by learning logical rules. However, many existing approaches do not take into account semantic correlations between …