Link Prediction On Wn18Rr

Metrics

Hits@1

Hits@10

Hits@3

MRR

Results

Performance results of various models on this benchmark

						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

0 of 74 row(s) selected.

Command Palette

Link Prediction On Wn18Rr

Metrics

Results