Link Prediction On Wn18

Metrics

Hits@1

Hits@10

Hits@3

MRR

Results

Performance results of various models on this benchmark

						Paper Title
Inverse Model	0.953	0.964	0.964	740	0.963	Convolutional 2D Knowledge Graph Embeddings
LineaRE	0.947	0.961	0.955	170	0.952	LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
QuatDE	0.944	0.961	0.954	120	0.95	QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
AutoKGE	-	0.961	-	-	0.952	AutoSF: Searching Scoring Functions for Knowledge Graph Embedding
MEI (small)	0.946	0.960	0.953	-	0.951	Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
ComplEx-N3 (reciprocal)	-	0.96	-	-	-	Canonical Tensor Decomposition for Knowledge Base Completion
QuatE	0.945	0.959	0.954	162	0.95	Quaternion Knowledge Graph Embeddings
RotatE	0.944	0.959	0.952	309	0.949	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
DensE	0.945	0.959	0.954	285	0.950	DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic Hierarchy
ConvR	0.947	0.958	0.955	-	0.951	Adaptive Convolution for Multi-Relational Learning
HypER	0.947	0.958	0.955	-	0.951	Hypernetwork Knowledge Graph Embeddings
TuckER	0.949	0.958	0.955	-	0.953	TuckER: Tensor Factorization for Knowledge Graph Completion
pRotatE	0.942	0.957	0.950	254	0.947	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
MEI-BTD	0.946	0.957	0.952	-	0.950	Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
OPTransE	-	0.957	-	199	-	Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
Quaternion	0.931	0.956	0.950	-	0.941	Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective
ConvE	0.935	0.956	0.946	374	0.943	Convolutional 2D Knowledge Graph Embeddings
MDE	-	0.956	-	118	0.871	MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
SimplE	0.944	0.954	0.950	412	0.948	GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
HHolE	.931	.951	.945	183	.939	Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations

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Link Prediction On Wn18

Metrics

Results