Since its introduction by Microsoft in 2024 as a way to address the limitations of large language models, GraphRAG has emerged as a leading method for focusing LLM reasoning and delivering accurate, ...

Abstract: Link prediction on temporal networks aims to predict the future edges by modeling the dynamic evolution involved in the graph data. Previous methods relying on the node/edge attributes or ...

Background Although voting is recognised as a social determinant of health, the association between electoral participation and subsequent mortality at an individual level has not been established.

Request To Download Free Sample of This Strategic Report @ A graph database is an online database management system where connected elements are linked together. It is an ideal solution to store data ...

Learn how Neo4j and n8n simplify knowledge graphs for smarter data insights. Build AI-driven graphs for customer data and document navigation ...

Abstract: Graph Knowledge Distillation (GKD) has made remarkable progress in graph representation learning in recent years. Despite its great success, GKD often obeys the label-dependence manner, ...