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 1101–1125 of 2974 papers

TitleStatusHype
SLHCat: Mapping Wikipedia Categories and Lists to DBpedia by Leveraging Semantic, Lexical, and Hierarchical Features—0
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction—0
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation—0
Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG) Using LLM—0
Classifying Organizations for Food System Ontologies using Natural Language Processing—0
Unsupervised Deep Cross-Language Entity AlignmentCode0
Temporal Smoothness Regularisers for Neural Link Predictors—0
Reproducible Domain-Specific Knowledge Graphs in the Life Sciences: a Systematic Literature Review—0
"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge GraphsCode0
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis—0
Information Flow in Graph Neural Networks: A Clinical Triage Use Case—0
Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical LiteratureCode0
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge GraphsCode0
Knowledge-based Refinement of Scientific Publication Knowledge Graphs—0
Don't Ignore Dual Logic Ability of LLMs while Privatizing: A Data-Intensive Analysis in Medical DomainCode4
Extending Transductive Knowledge Graph Embedding Models for Inductive Logical Relational InferenceCode0
PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your FingertipsCode2
Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs—0
Universal Preprocessing Operators for Embedding Knowledge Graphs with LiteralsCode0
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning—0
End-to-End Learning on Multimodal Knowledge GraphsCode0
NeMig -- A Bilingual News Collection and Knowledge Graph about MigrationCode0
Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph EngineeringCode1
Nemo: First Glimpse of a New Rule EngineCode2
AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations—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