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. 2023 Dec 8;14:20. doi: 10.1186/s13326-023-00301-y

Fig. 4.

Fig. 4

Distribution of MRR (left) and H@10 (right) performance metrics for link prediction, across all values explored during hyperparameter optimization of the baseline models. TransE performs rather consistently, but poorly overall. ComplEx results on a broad range of outcomes, indicating that it is very sensitive to hyper-parameters. RotateE performs similar to ComplEx when comparing their medians, but has a smaller spread and with specific parameters it results in the best performance