Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short

Knowledge graph (KG) embedding techniques use structured relationships between entities to learn lowdimensional representations of entities and relations. One prominent goal of these approaches is to improve the quality of knowledge graphs by removing errors and adding missing facts. Surprisingly, m... View More