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 25762600 of 2974 papers

TitleStatusHype
Enhancing Multi-Hop Knowledge Graph Reasoning through Reward Shaping Techniques0
Semantic Data Management in Data Lakes0
Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note0
Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study0
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models0
Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs0
Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning0
Enhancing Text2Cypher with Schema Filtering0
Enriching a Fashion Knowledge Graph from Product Textual Descriptions0
Bridging LLMs and KGs without Fine-Tuning: Intermediate Probing Meets Subgraph-Aware Entity Descriptions0
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction0
Enriching Wikidata with Linked Open Data0
Do KG-augmented Models Leverage Knowledge as Humans Do?0
A Neural Question Answering Model Based on Semi-Structured Tables0
Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation0
LLMs Plagiarize: Ensuring Responsible Sourcing of Large Language Model Training Data Through Knowledge Graph Comparison0
EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion0
Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing0
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?0
Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies0
Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods0
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs0
Entity Alignment with Reliable Path Reasoning and Relation-Aware Heterogeneous Graph Transformer0
Do as I can, not as I get0
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web0
Show:102550
← PrevPage 104 of 119Next →

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