Link Prediction On Umls

Hits@10

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	Hits@10	MR
joint-language-semantic-and-structure	0.994	1.39
palt-parameter-lite-transfer-of-language	0.990	1.57
embedding-entities-and-relations-for-learning	0.846	5.52
convolutional-2d-knowledge-graph-embeddings	0.990	1.51
semantic-triple-encoder-for-fast-open-set	0.991	1.49
complex-embeddings-for-simple-link-prediction	0.967	2.59
kglm-integrating-knowledge-graph-structure-in	0.995	1.19
kg-bert-bert-for-knowledge-graph-completion	0.990	1.47
translating-embeddings-for-modeling-multi	0.989	1.84
lp-bert-multi-task-pre-training-knowledge	1.000	1.18