Knowledge Graph Fact Prediction Via Knowledge-Enriched Tensor Factorization
Knowledge Graph Fact Prediction Via Knowledge-Enriched Tensor Factorization
We present a family of novel methods for embedding knowledge graphs into real-valued tensors. These tensor-based embeddings capture the ordered relations that are typical in the knowledge graphs represented by semantic web languages like RDF. Unlike many previous models, our methods can easily use prior background knowledge provided by users …