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Link Property Prediction On Ogbl Wikikg2

المقاييس

Ext. data
Number of params
Test MRR
Validation MRR

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
Ext. data
Number of params
Test MRR
Validation MRR
Paper TitleRepository
InterHT+ (256dim)No1480007380.7257 ± 0.00180.7370 ± 0.0022InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities-
ComplEx-N3-RP (50dim)-2501674000.63640.6594Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations-
ComplEx (50dim)No2501139000.3804 ± 0.00220.3534 ± 0.0052Complex Embeddings for Simple Link Prediction-
RotatE (50dim)No2500871500.2530 ± 0.00340.2250 ± 0.0035RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space-
ComplEx (250dim)No12505695000.4027 ± 0.00270.3759 ± 0.0016Complex Embeddings for Simple Link Prediction-
tripleRENo5007633370.5794 ± 0.00200.6045 ± 0.0024--
DistMult (500dim)No12505695000.3729 ± 0.00450.3506 ± 0.0042Embedding Entities and Relations for Learning and Inference in Knowledge Bases-
Rot-ProNo10006696020.5602 ± 0.00160.5740 ± 0.0008Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding-
StarGraph + TripleRENo867621460.7201 ± 0.00110.7288 ± 0.0008StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph-
InterHT+No1563327700.7293 ± 0.00180.7391 ± 0.0023InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities-
DistMult (100dim)No2501139000.3447 ± 0.00820.3150 ± 0.0088Embedding Entities and Relations for Learning and Inference in Knowledge Bases-
AutoWeirdNo192154020.7353 ± 0.00060.7362 ± 0.0006AutoWeird: Weird Translational Scoring Function Identified by Random Search-
InterHTNo192154020.6779 ± 0.00180.6893 ± 0.0015InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities-
CompoundE3DNo7506627000.7006 ± 0.00110.7175 ± 0.0015Knowledge Graph Embedding with 3D Compound Geometric Transformations-
TransE (500dim)No12505695000.4256 ± 0.00300.4272 ± 0.0030--
AutoSFNo5002278000.5458 ± 0.00520.5510 ± 0.0063AutoSF: Searching Scoring Functions for Knowledge Graph Embedding-
PairRE (200dim)No5003348000.5208 ± 0.00270.5423 ± 0.0020PairRE: Knowledge Graph Embeddings via Paired Relation Vectors-
TransERRNo5004418020.6359 ± 0.00200.6518 ± 0.0012TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation-
ComplEx-RP (50dim)No2501674000.6392 ± 0.00450.6561 ± 0.0070--
NodePiece + AutoSFNo68606020.5703 ± 0.00350.5806 ± 0.0047NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs-
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Link Property Prediction On Ogbl Wikikg2 | SOTA | HyperAI