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Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization. (arXiv:1902.03077v1 [cs.LG] CROSS LISTED)
cs.LG updates on arXiv.org arxiv.org
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 or extracted automatically from
existing knowledge graphs. In addition to providing more robust methods for
knowledge graph embedding, we provide a provably-convergent, linear tensor
factorization algorithm. We demonstrate the efficacy …
arxiv factorization graph knowledge knowledge graph lg prediction tensor