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
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question AnsweringCode2
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking TechniquesCode2
Multi-perspective Improvement of Knowledge Graph Completion with Large Language ModelsCode2
ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity AlignmentCode2
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph CompletionCode2
Graph Language ModelsCode2
Biomedical knowledge graph-optimized prompt generation for large language modelsCode2
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language ModelsCode2
Towards Foundation Models for Knowledge Graph ReasoningCode2
One for All: Towards Training One Graph Model for All Classification TasksCode2
PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your FingertipsCode2
Nemo: First Glimpse of a New Rule EngineCode2
DISC-MedLLM: Bridging General Large Language Models and Real-World Medical ConsultationCode2
DARWIN Series: Domain Specific Large Language Models for Natural ScienceCode2
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language ModelsCode2
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge GraphCode2
An Open-Source Knowledge Graph Ecosystem for the Life SciencesCode2
MolFM: A Multimodal Molecular Foundation ModelCode2
Boosting Knowledge Graph Generation from Tabular Data with RML ViewsCode2
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future OpportunitiesCode2
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation LearningCode2
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
PyReason: Software for Open World Temporal LogicCode2
Deep Bidirectional Language-Knowledge Graph PretrainingCode2
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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