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 901–950 of 2974 papers

TitleStatusHype
Entity Type Prediction in Knowledge Graphs using Embeddings—0
Entity Type Prediction Leveraging Graph Walks and Entity Descriptions—0
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings—0
A Fine-Tuning Approach for T5 Using Knowledge Graphs to Address Complex Tasks—0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
A Comprehensive Survey on Automatic Knowledge Graph Construction—0
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources—0
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphs—0
ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM—0
Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification—0
BIOS: An Algorithmically Generated Biomedical Knowledge Graph—0
FusionMind -- Improving question and answering with external context fusion—0
Class Granularity: How richly does your knowledge graph represent the real world?—0
Dual Embodied-Symbolic Concept Representations for Deep Learning—0
Dual Attention Network for Cross-lingual Entity Alignment—0
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness—0
Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis—0
Biomedical Multi-hop Question Answering Using Knowledge Graph Embeddings and Language Models—0
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion—0
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules—0
A First Experiment on Including Text Literals in KGloVe—0
Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph—0
Future Automation Engineering using Structural Graph Convolutional Neural Networks—0
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure—0
Drug repurposing prediction for COVID-19 using probabilistic networks and crowdsourced curation—0
EventKG: A Multilingual Event-Centric Temporal Knowledge Graph—0
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings—0
Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications—0
CN-HIT-IT.NLP at SemEval-2020 Task 4: Enhanced Language Representation with Multiple Knowledge Triples—0
DrugAgent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction—0
A Novel Paper Recommendation Method Empowered by Knowledge Graph: for Research Beginners—0
Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs—0
COCO-EX: A Tool for Linking Concepts from Texts to ConceptNet—0
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training—0
DRILL-- Deep Reinforcement Learning for Refinement Operators in ALC—0
DREIFLUSS: A Minimalist Approach for Table Matching—0
Adversarial Transformer Language Models for Contextual Commonsense Inference—0
Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification—0
Fuzzy Datalog^ over Arbitrary t-Norms—0
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning—0
Expanding Holographic Embeddings for Knowledge Completion—0
Expanding Knowledge Graphs with Humans in the Loop—0
BioLORD-2023: Semantic Textual Representations Fusing LLM and Clinical Knowledge Graph Insights—0
A Semantic Filter Based on Relations for Knowledge Graph Completion—0
An Open Knowledge Graph-Based Approach for Mapping Concepts and Requirements between the EU AI Act and International Standards—0
Domain-Transferable Method for Named Entity Recognition Task—0
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration—0
Explainable Entity-based Recommendations with Knowledge Graphs—0
Explainable Fact Checking with Probabilistic Answer Set Programming—0
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network—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