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 651–700 of 2974 papers

TitleStatusHype
Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study—0
Co-embedding of Nodes and Edges with Graph Neural Networks—0
A Semantically-Aware Relevance Measure for Content-Based Medical Image Retrieval Evaluation—0
A Joint Training Framework for Open-World Knowledge Graph Embeddings—0
A Joint-Reasoning based Disease Q&A System—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
CN-HIT-IT.NLP at SemEval-2020 Task 4: Enhanced Language Representation with Multiple Knowledge Triples—0
Clustering Semantic Predicates in the Open Research Knowledge Graph—0
Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks—0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering—0
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models—0
Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors—0
A Conceptual Model for Attributions in Event-Centric Knowledge Graphs—0
CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge—0
Enhancing Knowledge Graph Construction Using Large Language Models—0
Classifying Organizations for Food System Ontologies using Natural Language Processing—0
A Review of Knowledge Graph Completion—0
Class Granularity: How richly does your knowledge graph represent the real world?—0
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs—0
Enhancing Knowledge Graph Completion with GNN Distillation and Probabilistic Interaction Modeling—0
ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM—0
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding—0
A review of feature selection strategies utilizing graph data structures and knowledge graphs—0
CKG: Dynamic Representation Based on Context and Knowledge Graph—0
A Comprehensive Survey on Automatic Knowledge Graph Construction—0
ChronoR: Rotation Based Temporal Knowledge Graph Embedding—0
A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support—0
AI-driven E-Liability Knowledge Graphs: A Comprehensive Framework for Supply Chain Carbon Accounting and Emissions Liability Management—0
Chinese Hypernym-Hyponym Extraction from User Generated Categories—0
Chatting with Papers: A Hybrid Approach Using LLMs and Knowledge Graphs—0
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities—0
MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph—0
Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context—0
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation—0
Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs—0
Entity Profiling in Knowledge Graphs—0
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning—0
A Relation-Interactive Approach for Message Passing in Hyper-relational Knowledge Graphs—0
ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots—0
AI Assistants for Spaceflight Procedures: Combining Generative Pre-Trained Transformer and Retrieval-Augmented Generation on Knowledge Graphs With Augmented Reality Cues—0
A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement—0
Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling—0
A Relational Tucker Decomposition for Multi-Relational Link Prediction—0
Enhancing Data Integrity through Provenance Tracking in Semantic Web Frameworks—0
Are Large Language Models the New Interface for Data Pipelines?—0
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs—0
A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs—0
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models—0
Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph Integration—0
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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