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

Showing 26012625 of 2974 papers

TitleStatusHype
Unsupervised Construction of Knowledge Graphs From Text and Code0
Entity Extraction from Wikipedia List Pages0
Entity Prediction in Knowledge Graphs with Joint Embeddings0
Entity Profiling in Knowledge Graphs0
Entity Type Prediction in Knowledge Graphs using Embeddings0
Entity Type Prediction Leveraging Graph Walks and Entity Descriptions0
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks0
EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering0
Semantic-Guided RL for Interpretable Feature Engineering0
Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs0
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources0
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphs0
A Neural Architecture for Person Ontology population0
Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification0
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks0
Semantic relatedness in DBpedia: A comparative and experimental assessment0
Semantic Representation and Inference for NLP0
Semantic Parsing for Question Answering over Knowledge Graphs0
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness0
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?0
Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis0
DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding0
Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis0
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text0
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies0
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Benchmark Results

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