Comparison of Walk and Algebraic Model Embeddings in Event-centered Knowledge Graphs

Abstract

Using the knowledge graphs described by event-centered models published in the Knowledge Graph Reasoning Challenge for Social Issue, the properties of Walk-based embeddings, such as DeepGraph, and embedding based on algebraic models, such as TransE and Rotate, are compared for tasks such as link prediction and type prediction.