Link Prediction On Fb15K 237

评估指标

Hits@10

评测结果

各个模型在此基准测试上的表现结果

			Paper Title	Repository
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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