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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1451–1475 of 2974 papers

TitleStatusHype
Cost-efficient Knowledge-based Question Answering with Large Language Models—0
K-Edit: Language Model Editing with Contextual Knowledge Awareness—0
KEDRec-LM: A Knowledge-distilled Explainable Drug Recommendation Large Language Model—0
Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph—0
Attr-Int: A Simple and Effective Entity Alignment Framework for Heterogeneous Knowledge Graphs—0
Kepler-aSI at SemTab 2021—0
KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning—0
Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries—0
KERMIT - A Transformer-Based Approach for Knowledge Graph Matching—0
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation—0
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces—0
Graph Transformer—0
Graph-to-Vision: Multi-graph Understanding and Reasoning using Vision-Language Models—0
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer—0
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph—0
CoSe-Co: Sentence Conditioned Generative CommonSense Contextualizer for Language Models—0
Do as I can, not as I get—0
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling—0
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment—0
KGConv, a Conversational Corpus grounded in Wikidata—0
Graph Reasoning for Question Answering with Triplet Retrieval—0
Graph Reasoning for Explainable Cold Start Recommendation—0
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation—0
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs—0
GraphRank Pro+: Advancing Talent Analytics Through Knowledge Graphs and Sentiment-Enhanced Skill Profiling—0
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All datasetsMARS (Multimodal Analogical Reasoning dataSet)JerichoWorldWikiKG90M-LSCFB15k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MarT_MKGformerMRR0.34—Unverified
2MKGformerMRR0.32—Unverified
3MarT_FLAVAMRR0.29—Unverified
4ViLBERTMRR0.29—Unverified
5IKRL (ANALOGY)MRR0.28—Unverified
6IKRLMRR0.27—Unverified
7ViLTMRR0.26—Unverified
8TransAEMRR0.22—Unverified
#ModelMetricClaimedVerifiedStatus
1WorldformerSet accuracy39.15—Unverified
2Q*BERTSet accuracy32.78—Unverified
3GATA-WSet accuracy24.06—Unverified
4WorldformerSet accuracy23.22—Unverified
5Seq2SeqSet accuracy14.29—Unverified
6RulesSet accuracy4.7—Unverified
#ModelMetricClaimedVerifiedStatus
1TransE-ConcatTest MRR85.48—Unverified
2ComplEx-ConcatTest MRR0.86—Unverified
3ComplEx-RoBERTaTest MRR0.72—Unverified
4TransE-RoBERTaTest MRR0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1COMPLEXMRR0.59—Unverified