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 12511275 of 2974 papers

TitleStatusHype
How to Build an AI Tutor That Can Adapt to Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)0
Dangling-Aware Entity Alignment with Mixed High-Order Proximities0
How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback0
Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction0
Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring0
Automated assessment of knowledge hierarchy evolution: comparing directed acyclic graphs0
Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A Case Study at HCMUT0
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction0
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning0
Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset0
Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance0
HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks0
Croppable Knowledge Graph Embedding0
Integrating Knowledge Graphs and Bayesian Networks: A Hybrid Approach for Explainable Disease Risk Prediction0
Hyperbolic Graph Representation Learning: A Tutorial0
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings0
Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction0
Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies0
Hardware Acceleration for Knowledge Graph Processing: Challenges & Recent Developments0
HapPenIng: Happen, Predict, Infer -- Event Series Completion in a Knowledge Graph0
CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs0
An Automatic Ontology Generation Framework with An Organizational Perspective0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs0
Integrating 3D City Data through Knowledge Graphs0
Integrating Graph Contextualized Knowledge into Pre-trained Language Models0
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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