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

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Showing 1151–1175 of 2974 papers

TitleStatusHype
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement LearningCode0
LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning—0
Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering—0
A review of feature selection strategies utilizing graph data structures and knowledge graphs—0
medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRsCode0
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks—0
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification—0
Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph Integration—0
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being—0
Few-shot Knowledge Graph Relational Reasoning via Subgraph AdaptationCode0
Context Graph—0
Are Large Language Models a Good Replacement of Taxonomies?Code0
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph—0
Large Language Models and Knowledge Graphs for Astronomical Entity Disambiguation—0
KGPA: Robustness Evaluation for Large Language Models via Cross-Domain Knowledge GraphsCode0
Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language ModelsCode0
Large Language Models as Interpolated and Extrapolated Event PredictorsCode0
Improving rule mining via embedding-based link predictionCode0
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge—0
Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models—0
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering—0
Differentiable Reasoning about Knowledge Graphs with Region-based Graph Neural Networks—0
Research Trends for the Interplay between Large Language Models and Knowledge Graphs—0
Graph Reasoning for Explainable Cold Start Recommendation—0
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation LearningCode0
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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