Latest Articles for Knowledge Graphs

Optimizing multi-hop reasoning improves speed and accuracy for complex data analysis.

New methods improve item suggestions for users with no prior interaction data.

Using user queries to improve knowledge graphs in product catalogs.

DARA improves language agents' question handling using knowledge graphs.

Investigating the synergy between LLMs and KGs in AI applications.

A new model offers better clarity and efficiency in filling knowledge graph gaps.

A new method combines rule mining and link prediction to enrich knowledge graphs.

New method enhances retrieval-augmented generation for complex question answering.

Explore how technology is reshaping mental health support and care.

A new method enhances language models by integrating knowledge across languages.

A new approach combines educational topics for better, personalized learning experiences.

MV-Mol integrates diverse data sources for improved molecular understanding.

A new framework combines language models and knowledge graphs for clearer product suggestions.

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.