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 25512575 of 2974 papers

TitleStatusHype
Engineering Knowledge Graph from Patent Database0
Engineering Semantic Communication: A Survey0
Enhanced Knowledge Graphs Using Typed Entailment Graphs0
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations0
EnhancE:Enhanced Entity and Relation Embedding for Knowledge Hypergraph Link Prediction0
Semantic Association Rule Learning from Time Series Data and Knowledge Graphs0
Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs0
Domain-specific Knowledge Graphs: A survey0
Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs0
Enhancing Data Integrity through Provenance Tracking in Semantic Web Frameworks0
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models0
Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph Integration0
Domain and Range Aware Synthetic Negatives Generation for Knowledge Graph Embedding Models0
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge0
Enhancing Emergency Decision-making with Knowledge Graphs and Large Language Models0
Domain Adaptation for Large-Vocabulary Object Detectors0
Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context0
Enhancing Knowledge Graph Completion with GNN Distillation and Probabilistic Interaction Modeling0
Enhancing Knowledge Graph Construction Using Large Language Models0
DOLORES: Deep Contextualized Knowledge Graph Embeddings0
Semantic Communication Enhanced by Knowledge Graph Representation Learning0
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering0
Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering0
Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph0
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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