Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction | ✓ Link | 0.321 | 0.454 | 0.599 | 0.415 | 114 | | | | NBFNet | 2021-06-13 |
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction | ✓ Link | 0.315 | 0.413 | | 0.39 | | | | | KG-R3 (this work) | 2022-12-19 |
Relphormer: Relational Graph Transformer for Knowledge Graph Representations | ✓ Link | 0.314 | | 0.481 | 0.371 | | | | | Relphormer | 2022-05-22 |
Self-Distillation with Meta Learning for Knowledge Graph Completion | ✓ Link | 0.300 | 0.428 | 0.571 | 0.391 | | | | | MetaSD | 2023-05-20 |
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations | ✓ Link | 0.298 | 0.424 | 0.568 | 0.389 | 163 | | | | ComplEx-N3-RP | 2021-10-06 |
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models | ✓ Link | 0.298 | | 0.537 | 0.389 | | | | | SAFRAN | 2021-09-16 |
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion | | 0.296 | 0.431 | 0.580 | 0.391 | | | | | MoCoKGC | 2024-11-12 |
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models | | 0.292 | 0.42 | 0.578 | 0.387 | | | | | MoCoSA | 2023-08-16 |
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings | ✓ Link | 0.280 | 0.404 | 0.550 | 0.370 | 185 | | | | kNN-KGE | 2022-01-14 |
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion | ✓ Link | 0.276 | | 0.560 | 0.371 | | | | | ComplEx-DURA | 2020-11-11 |
MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction | ✓ Link | 0.274 | 0.406 | 0.557 | 0.369 | | | | | MEIM | 2022-09-30 |
NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion | ✓ Link | 0.272 | 0.404 | 0.547 | 0.366 | | | | | NePTuNe | 2021-04-15 |
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion | ✓ Link | 0.271 | 0.402 | 0.552 | 0.365 | | | | | MEI | 2020-06-29 |
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View | ✓ Link | 0.271 | 0.399 | 0.549 | 0.365 | 157 | | | | SE-GNN (ours) | 2021-09-24 |
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding | ✓ Link | 0.269 | 0.402 | 0.55 | 0.364 | | | | | RESCAL (SCE w/ LS pretrained) | 2021-06-14 |
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding | ✓ Link | 0.269 | 0.4 | 0.548 | 0.363 | | | | | RESCAL (SCE w/ LS) | 2021-06-14 |
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion | ✓ Link | 0.268 | 0.40 | 0.563 | 0.365 | 90 | | | | QuatDE | 2021-05-19 |
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction | ✓ Link | 0.268 | 0.396 | 0.545 | 0.36 | | | | | SAttLE | 2021-12-20 |
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding | | 0.267 | 0.396 | 0.550 | 0.361 | 154 | | | | GC-OTE | 2019-11-09 |
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion | ✓ Link | 0.266 | 0.404 | 0.562 | 0.365 | 117 | | | | StAR | 2020-04-30 |
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation | ✓ Link | 0.266 | 0.396 | 0.547 | 0.359 | | | | | KERMIT | 2023-09-26 |
TuckER: Tensor Factorization for Knowledge Graph Completion | ✓ Link | 0.266 | 0.394 | 0.544 | 0.358 | | | | | TuckER | 2019-01-28 |
GreenKGC: A Lightweight Knowledge Graph Completion Method | ✓ Link | 0.265 | 0.369 | 0.507 | 0.345 | | | | | RotatE + GreenKGC (Ours) | 2022-08-19 |
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction | ✓ Link | 0.264 | 0.391 | 0.545 | 0.357 | 155 | | | | LineaRE | 2020-04-21 |
Composition-based Multi-Relational Graph Convolutional Networks | ✓ Link | 0.264 | 0.390 | 0.535 | 0.355 | 197 | | | | CompGCN | 2019-11-08 |
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations | ✓ Link | 0.264 | 0.388 | 0.535 | 0.354 | | | | | TuckER-RP | 2021-10-06 |
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions | ✓ Link | 0.263 | | 0.535 | 0.354 | 172 | | | | InteractE | 2019-11-01 |
Decompressing Knowledge Graph Representations for Link Prediction | ✓ Link | 0.261 | 0.388 | 0.536 | 0.354 | | | | | RESCAL + Decom | 2019-11-11 |
Adaptive Convolution for Multi-Relational Learning | | 0.261 | 0.385 | 0.528 | 0.350 | | | | | ConvR | 2019-06-01 |
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion | ✓ Link | 0.26 | 0.39 | 0.54 | 0.35 | | | | | Structure-Aware Convolutional Networks | 2018-11-11 |
Low-Dimensional Hyperbolic Knowledge Graph Embeddings | ✓ Link | 0.256 | 0.390 | 0.541 | 0.351 | | | | | RefE | 2020-05-01 |
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic Hierarchy | ✓ Link | 0.256 | 0.384 | 0.535 | 0.349 | 169 | | | | DensE | 2020-08-11 |
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs | ✓ Link | 0.255 | 0.378 | 0.516 | 0.343 | | | | | DRUM (T=3) | 2019-10-31 |
Hypernetwork Knowledge Graph Embeddings | ✓ Link | 0.252 | 0.376 | 0.520 | 0.341 | | | | | HypER | 2018-08-21 |
GreenKGC: A Lightweight Knowledge Graph Completion Method | ✓ Link | 0.251 | 0.356 | 0.493 | 0.331 | | | | | TransE + GreenKGC (Ours) | 2022-08-19 |
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction | ✓ Link | 0.25 | 0.381 | | 0.346 | | | | | HAKE | 2019-11-21 |
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models | ✓ Link | 0.249 | 0.365 | 0.511 | 0.336 | | | | | SimKGCIB(+PB+SN) | 2022-03-04 |
Quaternion Knowledge Graph Embeddings | ✓ Link | 0.248 | 0.382 | 0.550 | 0.348 | 87 | | | | QuatE | 2019-04-23 |
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation | ✓ Link | 0.247 | 0.410 | 0.572 | 0.373 | 83 | | | | DaBR | 2024-12-05 |
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones | ✓ Link | 0.247 | 0.381 | 0.54 | 0.345 | | | | | ConE | 2021-10-28 |
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding | ✓ Link | 0.246 | 0.383 | 0.540 | 0.344 | | | | | Rot-Pro | 2021-10-27 |
Multi-relational Poincaré Graph Embeddings | ✓ Link | 0.245 | 0.370 | 0.521 | 0.336 | | | | | MuRP | 2019-05-23 |
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space | ✓ Link | 0.241 | 0.375 | 0.533 | 0.338 | 177 | | | | RotatE | 2019-02-26 |
BoxE: A Box Embedding Model for Knowledge Base Completion | ✓ Link | 0.238 | | 0.538 | 0.337 | | | | | BoxE | 2020-07-13 |
Convolutional 2D Knowledge Graph Embeddings | ✓ Link | 0.237 | 0.356 | 0.501 | 0.325 | | | | | ConvE | 2017-07-05 |
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space | ✓ Link | 0.23 | 0.365 | 0.524 | 0.328 | 178 | | | | pRotatE | 2019-02-26 |
Multi-task Pre-training Language Model for Semantic Network Completion | ✓ Link | 0.223 | 0.336 | 0.490 | 0.31 | 154 | | | | LP-BERT | 2022-01-13 |
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding | ✓ Link | 0.217 | 0.347 | 0.511 | 0.314 | 176 | 857 | | | RotatE | 2019-03-02 |
KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction | ✓ Link | 0.200 | 0.314 | 0.468 | .289 | 125.9 | | | | KGLM | 2022-11-04 |
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets | | 0.199 | 0.319 | 0.479 | 0.29 | | | | | JoBi ComplEx | 2019-10-25 |
Translating Embeddings for Modeling Multi-relational Data | ✓ Link | 0.1987 | | .4709 | 0.2904 | | | | | TransE | 2013-12-01 |
From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer | ✓ Link | 0.192 | 0.355 | 0.439 | | | | | | GenKGC | 2022-02-04 |
MLMLM: Link Prediction with Mean Likelihood Masked Language Model | | 0.1871 | 0.2820 | 0.4026 | 0.2591 | 411 | | | | MLMLM | 2020-09-15 |
R-GCN: The R Could Stand for Random | ✓ Link | 0.157 | 0.256 | 0.412 | 0.238 | | | | | RR-GCN-PPV | 2022-03-04 |
Knowledge Graph Embedding via Dynamic Mapping Matrix | ✓ Link | 0.1483 | | 0.4605 | 0.2527 | | | | | TransD | 2015-07-01 |
Convolutional 2D Knowledge Graph Embeddings | ✓ Link | 0.007 | 0.011 | 0.014 | 0.010 | 7030 | | | | Inverse Model | 2017-07-05 |
HittER: Hierarchical Transformers for Knowledge Graph Embeddings | ✓ Link | | 0.409 | | 0.373 | | | 0.279 | 0.558 | HittER | 2020-08-28 |
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding | ✓ Link | | | 0.555 | 0.365 | | | | | AutoKGE | 2019-04-26 |
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations | ✓ Link | | | 0.55 | 0.366 | | | | | CP-N3-RP | 2021-10-06 |
Augmenting and Tuning Knowledge Graph Embeddings | ✓ Link | | | 0.548 | 0.357 | | | | | DistMult (after variational EM) | 2019-07-01 |
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction | ✓ Link | | | 0.539 | | | | | | KG-R3 | 2022-12-19 |
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion | ✓ Link | | | 0.533 | | 108 | | | | LASS | 2022-09-19 |
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs | ✓ Link | | | 0.531 | 0.344 | 203 | | | | MDE_adv | 2019-05-25 |
Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities | ✓ Link | | | 0.522 | 0.338 | 186 | | | | GFA-NN | 2021-06-01 |
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods | | | | 0.489 | 0.302 | 203 | 1100 | | | KGRefiner | 2021-06-27 |
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding | ✓ Link | | | 0.4805 | 0.3021 | 221 | | | | ComplEx NSCaching | 2018-12-16 |
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules | | | | 0.473 | | 424 | | | | LogicENN | 2019-08-20 |
KBGAN: Adversarial Learning for Knowledge Graph Embeddings | ✓ Link | | | 0.458 | 0.277 | | | | | KBGAN (TransD + ComplEx) | 2017-11-11 |
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion | ✓ Link | | | 0.444 | | 144 | | | | PALT | 2022-10-25 |
Complex Embeddings for Simple Link Prediction | ✓ Link | | | 0.428 | | | | | | ComplEx | 2016-06-20 |
A Re-evaluation of Knowledge Graph Completion Methods | ✓ Link | | | .421 | .309 | 309 | | | | ConvKB (Corrected) | 2019-11-10 |
KG-BERT: BERT for Knowledge Graph Completion | ✓ Link | | | 0.42 | | 153 | | | | KG-BERT | 2019-09-07 |
Embedding Entities and Relations for Learning and Inference in Knowledge Bases | ✓ Link | | | 0.419 | 0.241 | | | | | DistMult | 2014-12-20 |
A Re-evaluation of Knowledge Graph Completion Methods | ✓ Link | | | .331 | .157 | 270 | | | | KBAT (Corrected) | 2019-11-10 |
A Re-evaluation of Knowledge Graph Completion Methods | ✓ Link | | | .057 | .032 | 446 | | | | CapsE (Corrected) | 2019-11-10 |