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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 11–20 of 45 papers

Title	Date	Tasks	Status	Hype	Score
Differentiating Concepts and Instances for Knowledge Graph Embedding	Nov 12, 2018	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Embedding Ontologies via Incorporating Extensional and Intensional Knowledge	Jan 20, 2024	Language ModelingLanguage Modelling	CodeCode Available	0	5
Image-embodied Knowledge Representation Learning	Sep 22, 2016	General ClassificationKnowledge Graph Completion	CodeCode Available	0	5
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence	May 9, 2017	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	0	5
Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs	Sep 28, 2023	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	0	5
Knowledge Graph Refinement based on Triplet BERT-Networks	Nov 18, 2022	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
KG-BERT: BERT for Knowledge Graph Completion	Sep 7, 2019	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	0	5
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations	May 17, 2023	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	0	5
Learning Entity and Relation Embeddings for Knowledge Graph Completion	Jan 25, 2015	Knowledge Graph CompletionKnowledge Graph Embeddings	CodeCode Available	0	5
Progressive Knowledge Graph Completion	Apr 15, 2024	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	0	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TransC (bern)	Accuracy	93.8	—	Unverified