Latest Articles for Knowledge Graphs

A study on how new ideas transform astronomical research through technology and collaboration.

A new framework enhances FMEA data analysis and retrieval.

Enhancing machine navigation by creating precise, context-aware instructions using spatial relationships.

A new benchmark to assess AI agents' performance in biomedical literature and knowledge graphs.

A new method improves question answering in knowledge graphs using examples.

Integrating graph knowledge improves performance in low-resource languages using language adapters.

A method to verify if LLM content is derived from copyrighted material.

A new method improves how we match entities across different knowledge graphs.

Testing frameworks improve the reliability of language models to provide dependable answers.

PlantConnectome connects literature and gene functions for improved plant biology research.

A study on how LLMs recognize entities in legal documents, focusing on Indian texts.

This study aims to enhance diagnosis accuracy using advanced models and knowledge graphs.

This study reveals how non-adversarial attacks impact knowledge graph embedding algorithms.

A look at how KGs and LLMs improve AI applications.

Exploring the role of knowledge graphs in personalized cancer treatments.

ACoNE offers an efficient model for generating explainable query embeddings.

A system that helps verify claims using evidence from various news sources.

A new method to assess accuracy in language model outputs.

A study on enhancing LLM accuracy through intent-driven retrieval methods.

This article discusses how knowledge graphs improve feature selection in data analysis.

Learn how knowledge graphs and language models enhance social media data analysis.

Combining language models and knowledge graphs for accurate health information.

HeCiX-KG merges clinical trial data with biological insights for better drug development.

A study on improving software through user reviews and ethical insights.

A new framework enhances the discovery of synthetic lethal gene relationships in cancer treatment.

Learn how cross-lingual entity alignment connects global information efficiently.

A method to enhance how researchers explore and understand scientific literature.

A new framework enhances knowledge graph completion efficiency and accuracy using large language models.

SinLG improves chatbot conversations by integrating background knowledge for better response selection.

This study investigates how numerical literals affect link prediction in knowledge graphs.

A new method for enhancing small language models using knowledge graphs for better causal analysis.

A look at a new method for sharing information focused on meaning.

Using AI to enhance character conversations in RPGs for richer gameplay.

Introducing PolyRAG, a system that enhances accuracy in information retrieval across specialized fields.

A novel approach to linking chemical entities with research literature using language models.

This article discusses a new query language for understanding complex beliefs in knowledge graphs.

Wav2graph creates knowledge graphs from spoken language for improved AI understanding.

A new method bridges language models and knowledge graphs for better information access.

Explore how HBot simplifies Traditional Chinese Medicine for everyone.

VariantKG aids researchers in analyzing genetic data and understanding health impacts.