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 1751–1775 of 2974 papers

TitleStatusHype
Quantum Machine Learning Algorithm for Knowledge Graphs—0
Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs—0
Query-Aware Learnable Graph Pooling Tokens as Prompt for Large Language Models—0
Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping—0
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph—0
Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion—0
Querying in the Age of Graph Databases and Knowledge Graphs—0
Query-Specific Knowledge Graphs for Complex Finance Topics—0
Question Answering on Scholarly Knowledge Graphs—0
Question Answering over Curated and Open Web Sources—0
Question Answering over Knowledge Graphs via Structural Query Patterns—0
Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking—0
Question Answering Over Spatio-Temporal Knowledge Graph—0
Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs—0
Question Calibration and Multi-Hop Modeling for Temporal Question Answering—0
R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution—0
RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models—0
RAG-based Question Answering over Heterogeneous Data and Text—0
RAG-KG-IL: A Multi-Agent Hybrid Framework for Reducing Hallucinations and Enhancing LLM Reasoning through RAG and Incremental Knowledge Graph Learning Integration—0
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG—0
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights—0
Raiders of the Lost Dependency: Fixing Dependency Conflicts in Python using LLMs—0
Rail Topology Ontology: A Rail Infrastructure Base Ontology—0
Rating and aspect-based opinion graph embeddings for explainable recommendations—0
RDF Knowledge Graph Visualization From a Knowledge Extraction System—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