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
A Comprehensive Survey on Automatic Knowledge Graph Construction0
ChronoR: Rotation Based Temporal Knowledge Graph Embedding0
A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support0
AI-driven E-Liability Knowledge Graphs: A Comprehensive Framework for Supply Chain Carbon Accounting and Emissions Liability Management0
Chinese Hypernym-Hyponym Extraction from User Generated Categories0
Chatting with Papers: A Hybrid Approach Using LLMs and Knowledge Graphs0
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities0
MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph0
Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context0
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation0
Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs0
Entity Profiling in Knowledge Graphs0
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning0
A Relation-Interactive Approach for Message Passing in Hyper-relational Knowledge Graphs0
ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots0
AI Assistants for Spaceflight Procedures: Combining Generative Pre-Trained Transformer and Retrieval-Augmented Generation on Knowledge Graphs With Augmented Reality Cues0
A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement0
Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling0
A Relational Tucker Decomposition for Multi-Relational Link Prediction0
Enhancing Data Integrity through Provenance Tracking in Semantic Web Frameworks0
Are Large Language Models the New Interface for Data Pipelines?0
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs0
A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs0
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
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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