Neural Regression with Embeddings for Numerical Attribute Prediction in Knowledge Graphs
A neural regression model (LitEm) that enables transductive knowledge graph embedding models to predict numerical attributes within knowledge graphs and a co-training framework that jointly trains state-of-the-art transductive knowledge graph embedding models with LitEm, which improves link prediction performance mainly for bilinear models and simultaneously enables them to predict numerical attributes.
Rupesh Sapkota, Louis Mozart Kamdem Teyou, Moshood Yekini et al.
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