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 125 of 2974 papers

TitleStatusHype
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented GenerationCode9
VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context VideosCode7
From RAG to Memory: Non-Parametric Continual Learning for Large Language ModelsCode7
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsCode7
SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoningCode5
Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language ModelCode5
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge GraphsCode4
AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale CorporaCode4
iText2KG: Incremental Knowledge Graphs Construction Using Large Language ModelsCode4
A Foundation Model for Zero-shot Logical Query ReasoningCode4
Don't Ignore Dual Logic Ability of LLMs while Privatizing: A Data-Intensive Analysis in Medical DomainCode4
Declarative generation of RDF-star graphs from heterogeneous dataCode3
RAKG:Document-level Retrieval Augmented Knowledge Graph ConstructionCode3
Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity RepresentationCode3
Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language ModelsCode3
MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge GraphsCode3
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and MultimodalCode3
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge GraphsCode3
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language ModelsCode3
In-situ graph reasoning and knowledge expansion using Graph-PReFLexORCode3
GFM-RAG: Graph Foundation Model for Retrieval Augmented GenerationCode3
Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph ReasoningCode3
GNN-RAG: Graph Neural Retrieval for Large Language Model ReasoningCode3
Affordable AI Assistants with Knowledge Graph of ThoughtsCode3
An RML-FNML module for Python user-defined functions in Morph-KGCCode3
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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