| AutoSF: Searching Scoring Functions for Knowledge Graph Embedding | ✓ Link | 0.861 | | | 0.914 | | | AutoKGE | 2019-04-26 |
| Augmenting and Tuning Knowledge Graph Embeddings | ✓ Link | 0.841 | | | 0.914 | | | DistMult (after variational EM) | 2019-07-01 |
| Quaternion Knowledge Graph Embeddings | ✓ Link | 0.833 | 0.800 | 0.859 | 0.900 | 17 | | QuatE | 2019-04-23 |
| SEEK: Segmented Embedding of Knowledge Graphs | ✓ Link | 0.825 | 0.792 | 0.841 | 0.886 | | | SEEK | 2020-05-02 |
| Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion | ✓ Link | 0.806 | 0.754 | 0.843 | 0.893 | | | MEI-BTD | 2020-06-29 |
| RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space | ✓ Link | 0.799 | 0.750 | 0.829 | 0.884 | 43 | | pRotatE | 2019-02-26 |
| RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space | ✓ Link | 0.797 | 0.746 | 0.830 | 0.884 | 40 | | RotatE | 2019-02-26 |
| Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations | | .796 | .727 | .848 | .901 | 21 | | HHolE | 2018-11-02 |
| TuckER: Tensor Factorization for Knowledge Graph Completion | ✓ Link | 0.795 | 0.741 | 0.833 | 0.892 | | | TuckER | 2019-01-28 |
| Hypernetwork Knowledge Graph Embeddings | ✓ Link | 0.790 | 0.734 | 0.829 | 0.885 | | | HypER | 2018-08-21 |
| Adaptive Convolution for Multi-Relational Learning | | 0.782 | 0.720 | 0.826 | 0.887 | | | ConvR | 2019-06-01 |
| GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding | ✓ Link | 0.779 | 0.721 | 0.818 | 0.876 | 74 | 2105 | SimplE | 2019-03-02 |
| NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding | ✓ Link | 0.7721 | | | | | | ComplEx NSCaching | 2018-12-16 |
| LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules | | 0.766 | | | 0.874 | 112 | | LogicENN | 2019-08-20 |
| Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets | | 0.761 | 0.681 | 0.824 | 0.883 | | | JoBi ComplEx | 2019-10-25 |
| SimplE Embedding for Link Prediction in Knowledge Graphs | ✓ Link | 0.727 | 0.660 | 0.773 | 0.838 | | | SimplE | 2018-02-13 |
| []() | | 0.696 | 0.601 | 0.760 | 0.842 | | | Relational-GCN | |
| Knowledge Graph Completion via Complex Tensor Factorization | ✓ Link | 0.692 | 0.599 | 0.759 | 0.840 | | | Complex | 2017-02-22 |
| Convolutional 2D Knowledge Graph Embeddings | ✓ Link | 0.660 | 0.658 | 0.659 | 0.660 | 2501 | | Inverse Model | 2017-07-05 |
| Convolutional 2D Knowledge Graph Embeddings | ✓ Link | 0.657 | 0.558 | 0.723 | 0.831 | 51 | | ConvE | 2017-07-05 |
| Representation Learning with Ordered Relation Paths for Knowledge Graph Completion | ✓ Link | | | | 0.899 | 33 | | OPTransE | 2019-09-26 |
| Knowledge Graph Embedding via Dynamic Mapping Matrix | ✓ Link | | | | 0.773 | 91 | | TransD | 2015-07-01 |
| Translating Embeddings for Modeling Multi-relational Data | ✓ Link | | | | 0.471 | 125 | | TransE | 2013-12-01 |