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 676700 of 2974 papers

TitleStatusHype
Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMsCode0
A Hierarchical N-Gram Framework for Zero-Shot Link PredictionCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
KGPA: Robustness Evaluation for Large Language Models via Cross-Domain Knowledge GraphsCode0
KGMark: A Diffusion Watermark for Knowledge GraphsCode0
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural NetworksCode0
A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text GenerationCode0
KG-BERT: BERT for Knowledge Graph CompletionCode0
KG-CRuSE: Recurrent Walks over Knowledge Graph for Explainable Conversation Reasoning using Semantic EmbeddingsCode0
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement LearningCode0
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationCode0
TechNet: Technology Semantic Network Based on Patent DataCode0
KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise QuestionsCode0
Knowledge Base Completion: Baseline strikes back (Again)Code0
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document UnderstandingCode0
KAMEL : Knowledge Analysis with Multitoken Entities in Language ModelsCode0
CAFE: Knowledge graph completion using neighborhood-aware featuresCode0
Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical LiteratureCode0
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge GraphsCode0
CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge AggregationCode0
K-BERT: Enabling Language Representation with Knowledge GraphCode0
Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge GraphsCode0
Jointly Learning Entity and Relation Representations for Entity AlignmentCode0
Joint Language Semantic and Structure Embedding for Knowledge Graph CompletionCode0
Jointly Learning Explainable Rules for Recommendation with Knowledge GraphCode0
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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