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 16011625 of 2974 papers

TitleStatusHype
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement LearningCode0
DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge GraphsCode0
Digital Twins for Patient Care via Knowledge Graphs and Closed-Form Continuous-Time Liquid Neural Networks0
VerifAI: Verified Generative AI0
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning0
Power-up! What Can Generative Models Do for Human Computation Workflows?0
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment0
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs0
Knowledge Graph for NLG in the context of conversational agents0
Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction0
CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph ConstructionCode0
Hierarchical Pretraining for Biomedical Term Embeddings0
StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming ScenariosCode0
DEKGCI: A double-sided recommendation model for integrating knowledge graph and user-item interaction graphCode0
IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representations0
Mutually Guided Few-shot Learning for Relational Triple ExtractionCode0
Knowledge-Infused Self Attention Transformers0
Explainable Representations for Relation Prediction in Knowledge GraphsCode0
A Decade of Scholarly Research on Open Knowledge GraphsCode0
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity LinkingCode0
TuckerDNCaching: high-quality negative sampling with tucker decompositionCode0
Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling0
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting0
Fine-tuning Large Enterprise Language Models via Ontological Reasoning0
Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network0
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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