SOTAVerified

Triple Classification

Triple classification aims to judge whether a given triple (h, r, t) is correct or not with respect to the knowledge graph.

Papers

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Showing 31–40 of 45 papers

TitleStatusHype
Knowlege Graph Embedding by Flexible Translation—0
Iteratively Learning Representations for Unseen Entities with Inter-Rule CorrelationsCode0
KG-BERT: BERT for Knowledge Graph CompletionCode0
Knowledge Graph Refinement based on Triplet BERT-NetworksCode0
Image-embodied Knowledge Representation LearningCode0
Repurposing Knowledge Graph Embeddings for Triple Representation via Weak SupervisionCode0
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear SubspacesCode0
Embedding Ontologies via Incorporating Extensional and Intensional KnowledgeCode0
Learning Entity and Relation Embeddings for Knowledge Graph CompletionCode0
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with ConfidenceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TransC (bern)Accuracy93.8—Unverified