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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–45 of 45 papers

TitleStatusHype
Membership Inference Attacks on Knowledge Graphs—0
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear SubspacesCode0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework—0
Revisiting Evaluation of Knowledge Base Completion Models—0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs—0
KG-BERT: BERT for Knowledge Graph CompletionCode0
A Relational Memory-based Embedding Model for Triple Classification and Search PersonalizationCode0
Neural Markov Logic Networks—0
Logic Rules Powered Knowledge Graph Embedding—0
Differentiating Concepts and Instances for Knowledge Graph EmbeddingCode0
DOLORES: Deep Contextualized Knowledge Graph Embeddings—0
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning—0
Accurate Text-Enhanced Knowledge Graph Representation Learning—0
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with ConfidenceCode0
Image-embodied Knowledge Representation LearningCode0
Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs—0
Neighborhood Mixture Model for Knowledge Base Completion—0
Probabilistic Reasoning via Deep Learning: Neural Association Models—0
Knowlege Graph Embedding by Flexible Translation—0
Learning Entity and Relation Embeddings for Knowledge Graph CompletionCode0
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Benchmark Results

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