2020
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion
NeurIPS 2020poster
Tensor factorization based models have shown great power in knowledge graph completion (KGC). However, their performance usually suffers from the overfitting problem seriously. This motivates various regularizers---such as the squared Frobenius norm and tensor nuclear norm regulariers---while the li…