HyperAI超神経
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HyperAI超神経

Link Prediction On Fb15K 1

評価指標

Hits@1
Hits@10
Hits@3
Hits@5
MRR

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
Hits@1
Hits@10
Hits@3
Hits@5
MRR
Paper TitleRepository
Rule-Guided Embedding0.7030.8650.8150.8360.768Knowledge Graph Embedding with Iterative Guidance from Soft Rules
ComplEx NSCaching-0.8682--0.7721NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
MEI (small)0.7570.8780.823-0.800Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
ComplEx-N3 (reciprocal)-0.91--0.86Canonical Tensor Decomposition for Knowledge Base Completion
ParTransH-0.468---Efficient Parallel Translating Embedding For Knowledge Graphs
HolE0.4020.7390.613-0.524Holographic Embeddings of Knowledge Graphs
HHolE0.7270.9010.848-0.796Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations-
MDE-0.857--0.652MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs
LineaRE0.8050.9060.867-0.843LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
PyTorch BigGraph (ComplEx)-0.872--0.79PyTorch-BigGraph: A Large-scale Graph Embedding System
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