Link Prediction On Wn18

Metrics

Hits@1

Hits@10

Hits@3

MRR

Results

Performance results of various models on this benchmark

Model Name	Hits@1	Hits@10	Hits@3	MR	MRR	Paper Title	Repository
QuatE	0.945	0.959	0.954	162	0.95	Quaternion Knowledge Graph Embeddings
ComplEx NSCaching	-	0.9398	-	1072	0.9355	NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
Quaternion	0.931	0.956	0.950	-	0.941	Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective
pRotatE	0.942	0.957	0.950	254	0.947	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
RotatE	0.944	0.959	0.952	309	0.949	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
SimplE	0.944	0.954	0.950	412	0.948	GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
LineaRE	0.947	0.961	0.955	170	0.952	LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
DistMult (after variational EM)	-	-	-	-	0.911	Augmenting and Tuning Knowledge Graph Embeddings
MEI-BTD	0.946	0.957	0.952	-	0.950	Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
ConvR	0.947	0.958	0.955	-	0.951	Adaptive Convolution for Multi-Relational Learning	-
ConvE	0.935	0.956	0.946	374	0.943	Convolutional 2D Knowledge Graph Embeddings
HypER	0.947	0.958	0.955	-	0.951	Hypernetwork Knowledge Graph Embeddings
KBGAN (TransD + ComplEx)	-	0.948	-	-	0.779	KBGAN: Adversarial Learning for Knowledge Graph Embeddings
TuckER	0.949	0.958	0.955	-	0.953	TuckER: Tensor Factorization for Knowledge Graph Completion
LibKGE (ruffinelli2020you)	-	-	-	-	-	PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
QuatDE	0.944	0.961	0.954	120	0.95	QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
HolE	0.930	0.949	0.945	-	0.938	Holographic Embeddings of Knowledge Graphs
TransD	-	0.922	-	212	-	-	-
HHolE	.931	.951	.945	183	.939	Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations	-
ParTransH	-	0.668	-	215	-	Efficient Parallel Translating Embedding For Knowledge Graphs

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