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 1801–1825 of 2974 papers

TitleStatusHype
Thematic recommendations on knowledge graphs using multilayer networks—0
LKD-KGC: Domain-Specific KG Construction via LLM-driven Knowledge Dependency Parsing—0
Causal knowledge graph analysis identifies adverse drug effects—0
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs—0
The More You Know: Using Knowledge Graphs for Image Classification—0
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery—0
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning—0
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments—0
Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation—0
5* Knowledge Graph Embeddings with Projective Transformations—0
LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domain—0
Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment—0
LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation—0
LLM-KG-Bench 3.0: A Compass for SemanticTechnology Capabilities in the Ocean of LLMs—0
LLM+KG@VLDB'24 Workshop Summary—0
LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning—0
Causal Claims in Economics—0
General LLMs as Instructors for Domain-Specific LLMs: A Sequential Fusion Method to Integrate Extraction and Editing—0
Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning—0
Locally Adaptive Translation for Knowledge Graph Embedding—0
Location Sensitive Embedding for Knowledge Graph Reasoning—0
Logical Consistency of Large Language Models in Fact-checking—0
CaRe: Open Knowledge Graph Embeddings—0
Cardinality Estimation on Hyper-relational Knowledge Graphs—0
Logical Separability of Labeled Data Examples under Ontologies—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