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 11511175 of 2974 papers

TitleStatusHype
Automating psychological hypothesis generation with AI: when large language models meet causal graph0
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion0
Automating Mathematical Proof Generation Using Large Language Model Agents and Knowledge Graphs0
Deep Outdated Fact Detection in Knowledge Graphs0
An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs0
Automatic News Generation and Fact-Checking System Based on Language Processing0
Automatic Question-Answer Generation for Long-Tail Knowledge0
IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representations0
Deep Learning on Knowledge Graph for Recommender System: A Survey0
IICONGRAPH: improved Iconographic and Iconological Statements in Knowledge Graphs0
Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs0
Automatic Knowledge Graph Construction for Judicial Cases0
An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap0
Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs0
Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality0
Interactive Contrastive Learning for Self-supervised Entity Alignment0
Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains0
Automatic Assessment of Conceptual Text Complexity Using Knowledge Graphs0
Decision Knowledge Graphs: Construction of and Usage in Question Answering for Clinical Practice Guidelines0
ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment0
Identifying Semantic Induction Heads to Understand In-Context Learning0
Improved Knowledge Graph Embedding using Background Taxonomic Information0
Improving Harmful Text Detection with Joint Retrieval and External Knowledge0
InBox: Recommendation with Knowledge Graph using Interest Box Embedding0
Infusing Knowledge into Large Language Models with Contextual Prompts0
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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