Explanation of Link Prediction with Entity Summarization

Abstract

Link prediction in knowledge graphs is used for question answering, for example, using the knowledge represented in the graph structure. On the other hand, there are still no established techniques for explaining inferences drawn from knowledge graphs. In this paper, we propose a technique for explaining the prediction results of link prediction using knowledge graph embedding. This explanation technique is realized by showing the characteristic parts of the predicted node's neighborhood.