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Link Prediction On Fb15K 237

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Paper Title
NBFNet0.599114Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
MoCoKGC0.580-MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion
MoCoSA0.578-MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models
MetaSD0.571-Self-Distillation with Meta Learning for Knowledge Graph Completion
ComplEx-N3-RP0.568163Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
QuatDE0.56390QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
StAR0.562117Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
ComplEx-DURA0.560-Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion
MEIM0.557-MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction
AutoKGE0.555-AutoSF: Searching Scoring Functions for Knowledge Graph Embedding
MEI0.552-Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
QuatE0.55087Quaternion Knowledge Graph Embeddings
GC-OTE0.550154Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
kNN-KGE0.550185Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings
CP-N3-RP0.55-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)0.549157How 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
KERMIT0.547-KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
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