Table 2 The parameter settings of TransE and RotatE.

From: An enhanced framework for knowledge graph embedding based on negative sample analogical reasoning

Dataset

Model

Embedding dimension

\(\gamma\)

r

Negative samples

FB15K-237

TransE

1000

9.0

\(5e^{-5}\)

256

RotatE

1000

9.0

\(5e^{-5}\)

1024

WN18RR

TransE

500

6.0

\(5e^{-5}\)

256

RotatE

500

6.0

\(5e^{-5}\)

1024