| NBFNet |
- MRR
- 0.415
- Hits@10
- 0.599
- Hits@3
- 0.454
- Hits@1
- 0.321
- MR
- 114
|
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction 2021-06-13 |
코드 1 · 코드 2 · 코드 3 |
| KG-R3 (this work) |
- MRR
- 0.39
- Hits@3
- 0.413
- Hits@1
- 0.315
|
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction 2022-12-19 |
코드 1 |
| Relphormer |
- MRR
- 0.371
- Hits@10
- 0.481
- Hits@1
- 0.314
|
Relphormer: Relational Graph Transformer for Knowledge Graph Representations 2022-05-22 |
코드 1 |
| MetaSD |
- MRR
- 0.391
- Hits@10
- 0.571
- Hits@3
- 0.428
- Hits@1
- 0.300
|
Self-Distillation with Meta Learning for Knowledge Graph Completion 2023-05-20 |
코드 1 |
| ComplEx-N3-RP |
- MRR
- 0.389
- Hits@10
- 0.568
- Hits@3
- 0.424
- Hits@1
- 0.298
- MR
- 163
|
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations 2021-10-06 |
코드 1 |
| SAFRAN |
- MRR
- 0.389
- Hits@10
- 0.537
- Hits@1
- 0.298
|
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models 2021-09-16 |
코드 1 |
| MoCoKGC |
- MRR
- 0.391
- Hits@10
- 0.580
- Hits@3
- 0.431
- Hits@1
- 0.296
|
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion 2024-11-12 |
연결 없음 |
| MoCoSA |
- MRR
- 0.387
- Hits@10
- 0.578
- Hits@3
- 0.42
- Hits@1
- 0.292
|
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models 2023-08-16 |
연결 없음 |
| kNN-KGE |
- MRR
- 0.370
- Hits@10
- 0.550
- Hits@3
- 0.404
- Hits@1
- 0.280
- MR
- 185
|
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings 2022-01-14 |
코드 1 |
| ComplEx-DURA |
- MRR
- 0.371
- Hits@10
- 0.560
- Hits@1
- 0.276
|
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion 2020-11-11 |
코드 1 · 코드 2 · 코드 3 |
| MEIM |
- MRR
- 0.369
- Hits@10
- 0.557
- Hits@3
- 0.406
- Hits@1
- 0.274
|
MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction 2022-09-30 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| NePTuNe |
- MRR
- 0.366
- Hits@10
- 0.547
- Hits@3
- 0.404
- Hits@1
- 0.272
|
NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion 2021-04-15 |
코드 1 |
| MEI |
- MRR
- 0.365
- Hits@10
- 0.552
- Hits@3
- 0.402
- Hits@1
- 0.271
|
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion 2020-06-29 |
코드 1 · 코드 2 |
| SE-GNN (ours) |
- MRR
- 0.365
- Hits@10
- 0.549
- Hits@3
- 0.399
- Hits@1
- 0.271
- MR
- 157
|
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View 2021-09-24 |
코드 1 |
| RESCAL (SCE w/ LS pretrained) |
- MRR
- 0.364
- Hits@10
- 0.55
- Hits@3
- 0.402
- Hits@1
- 0.269
|
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding 2021-06-14 |
코드 1 |
| RESCAL (SCE w/ LS) |
- MRR
- 0.363
- Hits@10
- 0.548
- Hits@3
- 0.4
- Hits@1
- 0.269
|
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding 2021-06-14 |
코드 1 |
| QuatDE |
- MRR
- 0.365
- Hits@10
- 0.563
- Hits@3
- 0.40
- Hits@1
- 0.268
- MR
- 90
|
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion 2021-05-19 |
코드 1 |
| SAttLE |
- MRR
- 0.36
- Hits@10
- 0.545
- Hits@3
- 0.396
- Hits@1
- 0.268
|
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction 2021-12-20 |
코드 1 |
| GC-OTE |
- MRR
- 0.361
- Hits@10
- 0.550
- Hits@3
- 0.396
- Hits@1
- 0.267
- MR
- 154
|
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding 2019-11-09 |
연결 없음 |
| StAR |
- MRR
- 0.365
- Hits@10
- 0.562
- Hits@3
- 0.404
- Hits@1
- 0.266
- MR
- 117
|
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion 2020-04-30 |
코드 1 |
| KERMIT |
- MRR
- 0.359
- Hits@10
- 0.547
- Hits@3
- 0.396
- Hits@1
- 0.266
|
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation 2023-09-26 |
코드 1 |
| TuckER |
- MRR
- 0.358
- Hits@10
- 0.544
- Hits@3
- 0.394
- Hits@1
- 0.266
|
TuckER: Tensor Factorization for Knowledge Graph Completion 2019-01-28 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| RotatE + GreenKGC (Ours) |
- MRR
- 0.345
- Hits@10
- 0.507
- Hits@3
- 0.369
- Hits@1
- 0.265
|
GreenKGC: A Lightweight Knowledge Graph Completion Method 2022-08-19 |
코드 1 |
| LineaRE |
- MRR
- 0.357
- Hits@10
- 0.545
- Hits@3
- 0.391
- Hits@1
- 0.264
- MR
- 155
|
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction 2020-04-21 |
코드 1 |
| CompGCN |
- MRR
- 0.355
- Hits@10
- 0.535
- Hits@3
- 0.390
- Hits@1
- 0.264
- MR
- 197
|
Composition-based Multi-Relational Graph Convolutional Networks 2019-11-08 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| TuckER-RP |
- MRR
- 0.354
- Hits@10
- 0.535
- Hits@3
- 0.388
- Hits@1
- 0.264
|
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations 2021-10-06 |
코드 1 |
| InteractE |
- MRR
- 0.354
- Hits@10
- 0.535
- Hits@1
- 0.263
- MR
- 172
|
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions 2019-11-01 |
코드 1 |
| RESCAL + Decom |
- MRR
- 0.354
- Hits@10
- 0.536
- Hits@3
- 0.388
- Hits@1
- 0.261
|
Decompressing Knowledge Graph Representations for Link Prediction 2019-11-11 |
코드 1 |
| ConvR |
- MRR
- 0.350
- Hits@10
- 0.528
- Hits@3
- 0.385
- Hits@1
- 0.261
|
Adaptive Convolution for Multi-Relational Learning 2019-06-01 |
연결 없음 |
| Structure-Aware Convolutional Networks |
- MRR
- 0.35
- Hits@10
- 0.54
- Hits@3
- 0.39
- Hits@1
- 0.26
|
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion 2018-11-11 |
코드 1 |