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SOTA
链接预测
Link Prediction On Wn18Rr
Link Prediction On Wn18Rr
评估指标
Hits@1
Hits@10
Hits@3
MR
MRR
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Hits@1
Hits@10
Hits@3
MR
MRR
Paper Title
Repository
MoCoKGC
0.665
0.881
0.792
-
0.742
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion
-
KERMIT
0.629
0.832
0.738
-
0.700
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
MoCoSA
0.624
0.82
0.737
-
0.696
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models
-
SimKGCIB(+PB+SN)
0.588
0.817
0.731
-
0.671
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
C-LMKE(bert-base)
0.523
0.789
0.671
79
0.619
Language Models as Knowledge Embeddings
LASS
-
0.786
-
35
-
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion
LP-BERT
0.343
0.752
0.563
92
0.482
Multi-task Pre-training Language Model for Semantic Network Completion
KGLM
0.330
0.741
0.538
40.18
0.467
KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction
StAR(Self-Adp)
0.243
0.709
0.491
51
0.401
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
PALT
-
0.693
-
61
-
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion
LERP
0.593
0.682
0.634
-
0.622
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
NBFNet
0.497
0.666
0.573
636
0.551
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
MLMLM
0.4391
0.611
0.5418
1603
0.5017
MLMLM: Link Prediction with Mean Likelihood Masked Language Model
-
GAAT
0.424
0.604
0.525
1270
0.467
Knowledge Graph Embedding via Graph Attenuated Attention Networks
-
Relphormer
0.448
0.591
-
-
0.495
Relphormer: Relational Graph Transformer for Knowledge Graph Representations
M3GM
0.4537
0.5902
-
-
0.4983
Predicting Semantic Relations using Global Graph Properties
RotH
0.449
0.586
0.514
-
.496
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
DRUM (T=3)
0.425
0.586
0.513
-
0.486
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
QuatDE
0.438
0.586
0.509
1977
0.489
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
HittER
0.462
0.584
0.516
-
0.503
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
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