A selective sparsity regularizer, SPR, nudges link prediction metrics up on standard benchmarks, but the evidence is single-run and the theoretical justification is mathematically flawed.
close" to the embedding vector of the tail entity t. Mathematically, it can be expressed as ei +r k ≈e j. The
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Rethinking Regularization Methods for Knowledge Graph Completion
A selective sparsity regularizer, SPR, nudges link prediction metrics up on standard benchmarks, but the evidence is single-run and the theoretical justification is mathematically flawed.