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ResearchFormerly WizWand

Knowledge Graph Completion on FB15k-237

0.608Hits@10RCDA
0.459280.497890.53650.57511Jun 11, 2021Apr 11, 2022Feb 10, 2023Dec 11, 2023Oct 11, 2024Aug 11, 2025Jun 12, 2026
Updated 4mo ago

Evaluation results

MethodLinks
RCDAL (layer count)=3, Base model=ComplEx2026.060.608—0.420.3260.462
NBFNetClass=GNNs2021.060.5991140.4150.3210.454
NBFNet2026.060.599—0.4150.3210.454
GS-Quant2026.040.592—0.4550.3860.479
MKGL2024.100.591—0.4150.3250.454
MKGLMethod Category=LLM-based2026.040.591—0.4150.3250.454
DIFTMethod Category=LLM-based2026.040.586—0.4390.3640.468
SSQRMethod Category=LLM-based2026.040.583—0.4280.3490.459
KICGPTMethod Category=LLM-based2026.040.581—0.4120.3270.448
MoCoSAMethod Category=description-based methods2023.080.578—0.3870.2920.42
DaBRScoring function=semantic matching and geometric distance2024.120.572830.3730.2740.41
CoLEMethod Category=Text-based2026.040.572—0.3890.2940.429
KG-FITMethod Category=LLM-based2026.040.572—0.3620.275—
QuatREScoring function=semantic matching2024.120.563880.3670.2690.404
DET2024.100.56—0.3760.281—
DualEScoring function=semantic matching2024.120.559910.3650.2680.4
C-LMKEMethod Category=description-based methods2023.080.556—0.4040.3240.439
TransERRScoring function=geometric distance2024.120.5551250.360.2640.396
KICGPT2024.100.554—0.4120.3270.448
KICGPT2023.090.554—0.4120.3270.448
RotatEClass=Embeddings2021.060.5531770.3380.2410.375
ConvQEScoring function=semantic matching2024.120.551—0.3660.2730.402
QuatEScoring function=semantic matching2024.120.55870.3480.2480.382
CoKE2024.100.549—0.3640.2720.4
Rotate4DScoring function=geometric distance2024.120.5471810.3530.2570.391
DCNEScoring function=geometric distance2024.120.5471690.3540.2570.393
KERMITLLM Backbone=phi3-medium2023.090.547—0.3590.2660.396
CompoundEScoring function=geometric distance2024.120.545—0.3570.2640.393
TuckERDimension=best of {100, 250, 500}2021.100.544—0.3580.2660.394
LowFERClass=Embeddings2021.060.544—0.3590.2660.396
TuckERMethod Category=embedding-based2022.030.544—0.3580.2660.394
TuckERMethod Category=structure-based methods2023.080.544—0.3580.2660.394
TuckER2024.100.544—0.3580.2660.394
DAN2024.100.544—0.3540.261—
TuckERScoring function=semantic matching2024.120.544—0.3580.2660.394
TuckER2023.090.544—0.3580.2660.394
TuckERMethod Category=Embedding-based2026.040.544—0.3580.2660.394
Rotate3DScoring function=geometric distance2024.120.5431650.3470.250.385
HAKEClass=Embeddings2021.060.542—0.3460.250.381
ConEDimension=best of {100, 250, 500}2021.100.54—0.3450.2470.381
ATTHScoring function=geometric distance2024.120.54—0.3480.2520.384
KERMITLLM Backbone=phi3-small2023.090.539—0.3520.2580.388
CSPromp-KGMethod Category=structure-based methods2023.080.538—0.3580.2690.393
RotateCTScoring function=geometric distance2024.120.5371710.3470.2510.382
KERMITLLM Backbone=qwen2-7b2023.090.537—0.3510.2580.387
ComplEx2021.060.536—0.348——
HAKEDimension=best of {100, 250, 500}2021.100.535—0.3410.2430.378
RotHDimension=best of {100, 250, 500}2021.100.535—0.3440.2460.38
CompGCN2024.100.535—0.3550.2640.39
HAQEScoring function=geometric distance2024.120.535—0.3430.2470.379
CompGCNMethod Category=Embedding-based2026.040.535—0.3550.2640.39
CompGCN2026.060.535—0.3550.2640.39
RotatEDimension=best of {100, 250, 500}2021.100.533—0.3380.2410.375
RotatEMethod Category=embedding-based2022.030.533—0.3380.2410.375
RotatEMethod Category=structure-based methods2023.080.533—0.3380.2410.375
RotatE2024.100.533—0.3380.2410.375
RNNLogic2023.090.533—0.3490.2580.385
RotatE2023.090.533—0.3380.2410.375
RotatEMethod Category=Embedding-based2026.040.533—0.3380.2410.375
RotatE2026.060.533—0.3380.2410.375
DistMult2021.060.531—0.343——
MEM-KGCMethod Category=Text-based2026.040.531—0.3460.2530.381
RNNLogic+ + RotatE (Orig + AUG)Base Model=RNNLogic+ + RotatE, Rule Source=RNNLogic rules, Augmentation=AUG2024.070.529—0.3530.265—
FHREScoring function=geometric distance2024.120.528—0.3450.2550.375
Trans4EScoring function=geometric distance2024.120.5271580.3320.2360.366
RNNLogic+ + RotatE (Orig)Base Model=RNNLogic+ + RotatE, Rule Source=RNNLogic rules, Augmentation=None2024.070.524—0.3430.256—
KG-ICL-6L2026.060.523—0.3550.270.389
ConvE2021.060.521—0.339——
FTL-LM2024.100.521—0.3480.2530.386
RNNLogic+ (Orig + AUG)Base Model=RNNLogic+, Rule Source=RNNLogic rules, Augmentation=AUG2024.070.519—0.3450.257—
MuRPDimension=best of {100, 250, 500}2021.100.518—0.3350.2430.367
GHN2023.090.518—0.3390.2510.364
DRUMClass=Path-based2021.060.516—0.3430.2550.378
CP-KGC2023.090.516—0.3380.2510.365
BERT-ResNetbackbone=BERT-base2021.060.5141860.3460.2620.379
BERT-ResNet + Re-rankingbackbone=BERT-base, re-ranking=true2021.060.5141870.3040.2120.329
BERT-ResNet + Knowledge Distillationbackbone=BERT-base, knowledge-distillation=true2021.060.5141870.310.220.334
BERT-ResNet + Ranking Ensemblebackbone=BERT-base, ranking-ensemble=true2021.060.5141860.3540.270.387
BERT-ResNet + KD and REbackbone=BERT-base, knowledge-distillation=true, ranking-ensemble=true2021.060.5141860.3530.2690.386
SimKGC_IB+PBMethod Category=text-based, In-batch negatives=true, Pre-batch negatives=true, Self-negatives=false2022.030.511—0.3340.2460.365
SimKGC_IB+PB+SNMethod Category=text-based, In-batch negatives=true, Pre-batch negatives=true, Self-negatives=true2022.030.511—0.3360.2490.362
SimKGC2023.090.511—0.3360.2490.362
ConvTransE2021.060.51—0.330.240.37
SimKGC_IBMethod Category=text-based, In-batch negatives=true, Pre-batch negatives=false, Self-negatives=false2022.030.51—0.3330.2460.362
SimKGCMethod Category=description-based methods2023.080.51—0.3330.2460.362
SimKGC_IB+SNMethod Category=text-based, In-batch negatives=true, Pre-batch negatives=false, Self-negatives=true2022.030.509—0.3340.2470.363
RNNLogic+ (Orig)Base Model=RNNLogic+, Rule Source=RNNLogic rules, Augmentation=None2024.070.506—0.3290.24—
ConvE2023.090.501—0.3250.2370.356
KG-S2SMethod Category=description-based methods2023.080.498—0.3360.2570.373
TransE2024.100.495—0.310.2180.345
BERT-DeepConvbackbone=BERT-base2021.060.4881900.3270.2460.354
StARMethod Category=text-based2022.030.482—0.2960.2050.322
StARMethod Category=description-based methods2023.080.482—0.2960.2050.322
StAR2024.100.482—0.2960.2050.322
StAR2023.090.482—0.2960.2050.322
RNNLogic+ + RotatE (RW + AUG)Base Model=RNNLogic+ + RotatE, Rule Source=Random Walks, Augmentation=AUG2024.070.479—0.3140.233—
RNNLogic+ + RotatE (RW)Base Model=RNNLogic+ + RotatE, Rule Source=Random Walks, Augmentation=None2024.070.469—0.3080.228—
KGLM2024.100.468—0.2890.20.314
BERT-ConvEbackbone=BERT-base2021.060.4651930.3050.2240.33
TransEClass=Embeddings2021.060.4653570.294——