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 22512275 of 2974 papers

TitleStatusHype
ProVe: A Pipeline for Automated Provenance Verification of Knowledge Graphs against Textual Sources0
A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development0
Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment0
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking0
A Systematic Survey of Text Worlds as Embodied Natural Language Environments0
Pyramid-Driven Alignment: Pyramid Principle Guided Integration of Large Language Models and Knowledge Graphs0
A Systematic Survey of Text Worlds as Embodied Natural Language Environments0
Q^2Forge: Minting Competency Questions and SPARQL Queries for Question-Answering Over Knowledge Graphs0
QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph0
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination0
AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations0
QAnswer: Towards Question Answering Search over Websites0
Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It’s complicated!0
A Survey on Visual Transfer Learning using Knowledge Graphs0
QirK: Question Answering via Intermediate Representation on Knowledge Graphs0
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs0
Decoding Intelligence: A Framework for Certifying Knowledge Comprehension in LLMs0
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs0
Quantifying Relational Exploration in Cultural Heritage Knowledge Graphs with LLMs: A Neuro-Symbolic Approach0
Quantum Machine Learning Algorithm for Knowledge Graphs0
A Survey on Temporal Knowledge Graph: Representation Learning and Applications0
Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph0
A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead0
A Conceptual Model for Attributions in Event-Centric Knowledge Graphs0
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs0
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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