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 901–925 of 2974 papers

TitleStatusHype
Entity Type Prediction in Knowledge Graphs using Embeddings—0
Entity Type Prediction Leveraging Graph Walks and Entity Descriptions—0
A First Experiment on Including Text Literals in KGloVe—0
EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering—0
CKG: Dynamic Representation Based on Context and Knowledge Graph—0
A Comprehensive Survey on Automatic Knowledge Graph Construction—0
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources—0
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphs—0
ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM—0
Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification—0
From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs—0
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure—0
Drug repurposing prediction for COVID-19 using probabilistic networks and crowdsourced curation—0
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering—0
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings—0
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness—0
Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis—0
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs—0
Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications—0
DrugAgent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction—0
A Novel Paper Recommendation Method Empowered by Knowledge Graph: for Research Beginners—0
Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph—0
DRILL-- Deep Reinforcement Learning for Refinement Operators in ALC—0
DREIFLUSS: A Minimalist Approach for Table Matching—0
Adversarial Transformer Language Models for Contextual Commonsense Inference—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