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 1451–1500 of 2974 papers

TitleStatusHype
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results—0
Extraction of Diagnostic Reasoning Relations for Clinical Knowledge Graphs—0
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
Fact Checking via Path Embedding and Aggregation—0
Fact or Guesswork? Evaluating Large Language Model's Medical Knowledge with Structured One-Hop Judgment—0
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs—0
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs—0
Fair comparison of knowledge graphs for question answering—0
Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs—0
Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization—0
Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph—0
Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism—0
Learning Representations for Reasoning: Generalizing Across Diverse Structures—0
Learning Representations of Entities and Relations—0
Learning semantic Image attributes using Image recognition and knowledge graph embeddings—0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework—0
Learning the Semantics of Structured Data Sources—0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion—0
Learning to Discover Medicines—0
Learning to refine domain knowledge for biological network inference—0
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs—0
Learning to Select the Next Reasonable Mention for Entity Linking—0
Learning to Speed Up Query Planning in Graph Databases—0
Learning to Update Knowledge Graphs by Reading News—0
Learning with Memory Embeddings—0
LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration—0
Leveraging Catalog Knowledge Graphs for Query Attribute Identification in E-Commerce Sites—0
Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation—0
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs—0
Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal Entity Alignment—0
Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction—0
Leveraging Knowledge Graphs and LLMs for Context-Aware Messaging—0
Leveraging Knowledge Graphs and LLMs for Structured Generation of Misinformation—0
Leveraging Knowledge Graphs and LLMs to Support and Monitor Legislative Systems—0
Leveraging Knowledge Graphs for Orphan Entity Allocation in Resume Processing—0
Leveraging Knowledge Graphs for Zero-Shot Object-agnostic State Classification—0
Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation—0
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings—0
Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs—0
Leveraging Wikipedia Navigational Templates for Curating Domain-Specific Fuzzy Conceptual Bases—0
Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection—0
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding—0
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph—0
Linking ImageNet WordNet Synsets with Wikidata—0
Linking OpenStreetMap with Knowledge Graphs -- Link Discovery for Schema-Agnostic Volunteered Geographic Information—0
Linking Streets in OpenStreetMap to Persons in Wikidata—0
Incomplete Knowledge Graph Alignment—0
LinkNBed: Multi-Graph Representation Learning with Entity Linkage—0
Link Prediction using Embedded Knowledge Graphs—0
Link Prediction with Relational Hypergraphs—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