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 21–30 of 45 papers

TitleStatusHype
Differentially Private Federated Knowledge Graphs EmbeddingCode1
Membership Inference Attacks on Knowledge Graphs—0
CoDEx: A Comprehensive Knowledge Graph Completion BenchmarkCode1
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear SubspacesCode0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework—0
On the Role of Conceptualization in Commonsense Knowledge Graph ConstructionCode1
Revisiting Evaluation of Knowledge Base Completion Models—0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs—0
Reasoning on Knowledge Graphs with Debate DynamicsCode1
KG-BERT: BERT for Knowledge Graph CompletionCode0
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Benchmark Results

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