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المنصة
الرئيسية
SOTA
تنبؤ الرابط
Link Prediction On Fb15K 237
Link Prediction On Fb15K 237
المقاييس
Hits@10
MR
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Hits@10
MR
Paper Title
NBFNet
0.599
114
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
MoCoKGC
0.580
-
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion
MoCoSA
0.578
-
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models
MetaSD
0.571
-
Self-Distillation with Meta Learning for Knowledge Graph Completion
ComplEx-N3-RP
0.568
163
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
QuatDE
0.563
90
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
StAR
0.562
117
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
ComplEx-DURA
0.560
-
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion
MEIM
0.557
-
MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction
AutoKGE
0.555
-
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding
MEI
0.552
-
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
QuatE
0.550
87
Quaternion Knowledge Graph Embeddings
GC-OTE
0.550
154
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
kNN-KGE
0.550
185
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings
CP-N3-RP
0.55
-
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
RESCAL (SCE w/ LS pretrained)
0.55
-
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
SE-GNN (ours)
0.549
157
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View
DistMult (after variational EM)
0.548
-
Augmenting and Tuning Knowledge Graph Embeddings
RESCAL (SCE w/ LS)
0.548
-
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
KERMIT
0.547
-
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
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Link Prediction On Fb15K 237 | SOTA | HyperAI