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 1–25 of 45 papers

TitleStatusHype
Knowledge Representation Learning: A Quantitative ReviewCode2
Exploring Large Language Models for Knowledge Graph CompletionCode1
Differentially Private Federated Knowledge Graphs EmbeddingCode1
GreenKGC: A Lightweight Knowledge Graph Completion MethodCode1
CoDEx: A Comprehensive Knowledge Graph Completion BenchmarkCode1
On the Role of Conceptualization in Commonsense Knowledge Graph ConstructionCode1
Structure Pretraining and Prompt Tuning for Knowledge Graph TransferCode1
Language Models as Knowledge EmbeddingsCode1
Reasoning on Knowledge Graphs with Debate DynamicsCode1
Differentiating Concepts and Instances for Knowledge Graph EmbeddingCode0
A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of ThingsCode0
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with ConfidenceCode0
Embedding Ontologies via Incorporating Extensional and Intensional KnowledgeCode0
Image-embodied Knowledge Representation LearningCode0
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
Learning Entity and Relation Embeddings for Knowledge Graph CompletionCode0
Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge GraphsCode0
Progressive Knowledge Graph CompletionCode0
A Relational Memory-based Embedding Model for Triple Classification and Search PersonalizationCode0
Repurposing Knowledge Graph Embeddings for Triple Representation via Weak SupervisionCode0
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear SubspacesCode0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework—0
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning—0
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Benchmark Results

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