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 17261750 of 2974 papers

TitleStatusHype
Privacy-Preserving Synthetically Augmented Knowledge Graphs with Semantic Utility0
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures0
Probabilistic Knowledge Graph Embeddings0
Probability Calibration for Knowledge Graph Embedding Models0
Procedure Model for Building Knowledge Graphs for Industry Applications0
Proceedings of the KG-BIAS Workshop 2020 at AKBC 20200
ProcK: Machine Learning for Knowledge-Intensive Processes0
PRODIGY: Enabling In-context Learning Over Graphs0
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion0
Prompt-fused framework for Inductive Logical Query Answering0
Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts0
Proposition Knowledge Graphs0
Protoknowledge Shapes Behaviour of LLMs in Downstream Tasks: Memorization and Generalization with Knowledge Graphs0
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
Pyramid-Driven Alignment: Pyramid Principle Guided Integration of Large Language Models and Knowledge Graphs0
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
QAnswer: Towards Question Answering Search over Websites0
Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It’s complicated!0
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
Quantifying Relational Exploration in Cultural Heritage Knowledge Graphs with LLMs: A Neuro-Symbolic Approach0
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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