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 11–20 of 45 papers

TitleStatusHype
Accurate Text-Enhanced Knowledge Graph Representation Learning—0
Neural Markov Logic Networks—0
Membership Inference Attacks on Knowledge Graphs—0
Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training—0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs—0
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning—0
Efficient Relational Context Perception for Knowledge Graph Completion—0
DOLORES: Deep Contextualized Knowledge Graph Embeddings—0
Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs—0
Knowlege Graph Embedding by Flexible Translation—0
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Benchmark Results

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