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 1926–1950 of 2974 papers

TitleStatusHype
Streamlining Knowledge Graph Creation with PyRML—0
Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks—0
Structural Quality Metrics to Evaluate Knowledge Graphs—0
Structure Aware Negative Sampling in Knowledge Graphs—0
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs—0
Structure Diagram Recognition in Financial Announcements—0
Structured Query Construction via Knowledge Graph Embedding—0
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning—0
Subgraph2vec: A random walk-based algorithm for embedding knowledge graphs—0
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning—0
SubGraph Networks based Entity Alignment for Cross-lingual Knowledge Graph—0
Supervised Distributional Hypernym Discovery via Domain Adaptation—0
Survey on Semantic Interpretation of Tabular Data: Challenges and Directions—0
Swift Markov Logic for Probabilistic Reasoning on Knowledge Graphs—0
SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs—0
Symbiotic Child Emotional Support with Social Robots and Temporal Knowledge Graphs—0
Synergizing Knowledge Graphs with Large Language Models: A Comprehensive Review and Future Prospects—0
Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering—0
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework—0
Synthetic Multimodal Dataset for Empowering Safety and Well-being in Home Environments—0
Systematic Assessment of Factual Knowledge in Large Language Models—0
TaCE: Time-aware Convolutional Embedding Learning for Temporal Knowledge Graph Completion—0
Tailor knowledge graph for query understanding: linking intent topics by propagation—0
Talking like Piping and Instrumentation Diagrams (P&IDs)—0
Talking to GDELT Through Knowledge Graphs—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