Triple classification on FB13 (test) benchmark leaderboard · SOTA2 Research

Triple classification on FB13 (test)

91.9AccuracyRMNN

Evaluation Results

Method	Links
RMNN2016.03		91.9
LASS2022.09		91.8
PALT2022.10		91.7
LASS2022.09		91.6
DNN2016.03		91.5
PALT2022.10		91.3
LASS2022.09		91.2
LASS2022.09		91.1
KG-BERT(a)2019.09		90.4
KG-BERT2022.09		90.4
KG-BERT2022.10		90.4
NTN2016.03		90
NTN2019.09		90
NTN2022.09		90
NTN2022.10		90
DOLORES2019.09		89.3
DOLORES2022.09		89.3
DOLORES2022.10		89.3
TransD2019.09		89.1
TransD2022.09		89.1
TransD2022.10		89.1
DistMult-HRS2019.09		89
DistMult-HRS2022.09		89
DistMult-HRS2022.10		89
ConvKB2019.09		88.8
ConvKB2022.09		88.8
ConvKB2022.10		88.8
TranSparse-S2019.09		88.2
TranSparse-S2022.09		88.2
TranSparse-S2022.10		88.2
TransG2019.09		87.3
TransG2022.09		87.3
TransG2022.10		87.3
AATE2019.09		87.2
AATE2022.09		87.2
AATE2022.10		87.2
DistMult2019.09		86.2
DistMult2022.09		86.2
DistMult2022.10		86.2
TEKE2019.09		84.2
TEKE2022.09		84.2
TEKE2022.10		84.2
TransH2016.03		83.3
TransH2019.09		83.3
TransH2022.09		83.3
TransH2022.10		83.3
TransR2016.03		82.5
TransR2019.09		82.5
TransR2022.09		82.5
TransR2022.10		82.5
TransE2016.03		81.5
TransE2019.09		81.5
TransE2022.09		81.5
TransE2022.10		81.5
SME2016.03		63.7