SOTAVerified

Knowledge Graphs

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1801–1825 of 2974 papers

TitleStatusHype
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure—0
Relation- and Phrase-level Linking of FrameNet with Sar-graphs—0
Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering—0
Relation Clustering in Narrative Knowledge Graphs—0
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks—0
Relation Prediction for Unseen-Entities Using Entity-Word Graphs—0
Comparison of biomedical relationship extraction methods and models for knowledge graph creation—0
Relations Prediction for Knowledge Graph Completion using Large Language Models—0
RelBERT: Embedding Relations with Language Models—0
Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs—0
RelSifter: Scoring Triples from Type-like Relations - The Samphire Triple Scorer at WSDM Cup 2017—0
Representation Learning for Words and Entities—0
Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data—0
Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs—0
Representing Timed Automata and Timing Anomalies of Cyber-Physical Production Systems in Knowledge Graphs—0
Representing Web Applications As Knowledge Graphs—0
Reproducible Domain-Specific Knowledge Graphs in the Life Sciences: a Systematic Literature Review—0
Requirements Analysis for an Open Research Knowledge Graph—0
Research Commentary on Recommendations with Side Information: A Survey and Research Directions—0
Research Progress of News Recommendation Methods—0
Research Trends for the Interplay between Large Language Models and Knowledge Graphs—0
Resilience in Knowledge Graph Embeddings—0
Rethinking Language Models as Symbolic Knowledge Graphs—0
Rethinking Regularization Methods for Knowledge Graph Completion—0
Retrieval-Augmented Generation of Ontologies from Relational Databases—0
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All datasetsMARS (Multimodal Analogical Reasoning dataSet)JerichoWorldWikiKG90M-LSCFB15k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MarT_MKGformerMRR0.34—Unverified
2MKGformerMRR0.32—Unverified
3MarT_FLAVAMRR0.29—Unverified
4ViLBERTMRR0.29—Unverified
5IKRL (ANALOGY)MRR0.28—Unverified
6IKRLMRR0.27—Unverified
7ViLTMRR0.26—Unverified
8TransAEMRR0.22—Unverified
#ModelMetricClaimedVerifiedStatus
1WorldformerSet accuracy39.15—Unverified
2Q*BERTSet accuracy32.78—Unverified
3GATA-WSet accuracy24.06—Unverified
4WorldformerSet accuracy23.22—Unverified
5Seq2SeqSet accuracy14.29—Unverified
6RulesSet accuracy4.7—Unverified
#ModelMetricClaimedVerifiedStatus
1TransE-ConcatTest MRR85.48—Unverified
2ComplEx-ConcatTest MRR0.86—Unverified
3ComplEx-RoBERTaTest MRR0.72—Unverified
4TransE-RoBERTaTest MRR0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1COMPLEXMRR0.59—Unverified