HyperAI

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

Model Name
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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