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Link Property Prediction On Ogbl Wikikg2
Metrics
Ext. data
Number of params
Test MRR
Validation MRR
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||||
|---|---|---|---|---|---|---|
| RelEns | No | 2176767622 | 0.7392 ± 0.0011 | 0.7509 ± 0.0009 | Relation-aware Ensemble Learning for Knowledge Graph Embedding | |
| StarGraph + TripleRE + Text | Yes | 1927395330 | 0.7305 ± 0.0010 | 0.7442 ± 0.0006 | - | - |
| ComplEx (250dim) | No | 1250569500 | 0.4027 ± 0.0027 | 0.3759 ± 0.0016 | Complex Embeddings for Simple Link Prediction | |
| DistMult (500dim) | No | 1250569500 | 0.3729 ± 0.0045 | 0.3506 ± 0.0042 | Embedding Entities and Relations for Learning and Inference in Knowledge Bases | |
| TransE (500dim) | No | 1250569500 | 0.4256 ± 0.0030 | 0.4272 ± 0.0030 | - | - |
| RotatE (250dim) | No | 1250435750 | 0.4332 ± 0.0025 | 0.4353 ± 0.0028 | RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space | |
| Rot-Pro | No | 1000669602 | 0.5602 ± 0.0016 | 0.5740 ± 0.0008 | Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding | |
| RotPro | No | 1000669602 | 0.4277 ± 0.0008 | 0.4174 ± 0.0058 | Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding | |
| CompoundE3D | No | 750662700 | 0.7006 ± 0.0011 | 0.7175 ± 0.0015 | Knowledge Graph Embedding with 3D Compound Geometric Transformations | |
| tripleRE | No | 500763337 | 0.5794 ± 0.0020 | 0.6045 ± 0.0024 | - | - |
| TransERR | No | 500441802 | 0.6359 ± 0.0020 | 0.6518 ± 0.0012 | TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation | |
| PairRE (200dim) | No | 500334800 | 0.5208 ± 0.0027 | 0.5423 ± 0.0020 | PairRE: Knowledge Graph Embeddings via Paired Relation Vectors | |
| ComplEx-N3-RP (100dim) | - | 500334800 | 0.6481 | 0.6701 | Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations | |
| AutoSF | No | 500227800 | 0.5458 ± 0.0052 | 0.5510 ± 0.0063 | AutoSF: Searching Scoring Functions for Knowledge Graph Embedding | |
| ComplEx-N3-RP (50dim) | - | 250167400 | 0.6364 | 0.6594 | Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations | |
| ComplEx-RP (50dim) | No | 250167400 | 0.6392 ± 0.0045 | 0.6561 ± 0.0070 | - | - |
| ComplEx (50dim) | No | 250113900 | 0.3804 ± 0.0022 | 0.3534 ± 0.0052 | Complex Embeddings for Simple Link Prediction | |
| DistMult (100dim) | No | 250113900 | 0.3447 ± 0.0082 | 0.3150 ± 0.0088 | Embedding Entities and Relations for Learning and Inference in Knowledge Bases | |
| TransE (100dim) | No | 250113900 | 0.2622 ± 0.0045 | 0.2465 ± 0.0020 | - | - |
| RotatE (50dim) | No | 250087150 | 0.2530 ± 0.0034 | 0.2250 ± 0.0035 | RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space |
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