Convolutional 2D Knowledge Graph Embeddings

Understand

Link prediction for knowledge graphs is the task of predicting missing relationships between entities.

• Previous work on link prediction has focused on shallow, fast models which can scale to large knowledge graphs.
• However, these models learn less expressive features than deep, multi-layer models -- which potentially limits performance.
• In this work, we introduce ConvE, a multi-layer convolutional network model for link prediction, and report state-of-the-art results for several established datasets.