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 5175 of 2974 papers

TitleStatusHype
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking TechniquesCode2
Managing FAIR Knowledge Graphs as Polyglot Data End Points: A Benchmark based on the rdf2pg Framework and Plant Biology DataCode2
Knowledge Graph-Guided Retrieval Augmented GenerationCode2
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language ModelsCode2
Multi-perspective Improvement of Knowledge Graph Completion with Large Language ModelsCode2
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context ReasoningCode2
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge GraphsCode2
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation LearningCode2
PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your FingertipsCode2
Biomedical knowledge graph-optimized prompt generation for large language modelsCode2
Boosting Knowledge Graph Generation from Tabular Data with RML ViewsCode2
LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph EmbeddingsCode2
ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity AlignmentCode2
Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge GraphsCode2
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph EnrichmentCode2
Knowledge GraphsCode2
An Open-Source Knowledge Graph Ecosystem for the Life SciencesCode2
GreaseLM: Graph REASoning Enhanced Language Models for Question AnsweringCode2
Graph Foundation Models: A Comprehensive SurveyCode2
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Dataset Augmented by ChatGPTCode2
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPTCode2
FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial MarketsCode2
Efficient and Effective SPARQL Autocompletion on Very Large Knowledge GraphsCode2
Graph Language ModelsCode2
Ekar: An Explainable Method for Knowledge Aware RecommendationCode2
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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