Unlock Hidden Insights with Neo4j and n8n : The Future of Knowledge Graphs

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

Learning from Reconstruction: A Two-Stage Global-to-Local Framework for Temporal Knowledge Graph Completion

Abstract: In recent years, Temporal Knowledge Graphs (TKGs) have developed rapidly and Temporal Knowledge Graph Completion (TKGC) aims at completing the missing parts of incomplete TKGs. Many methods ...
IEEE

Research on Multi-Service Data Fusion Mechanism and Dynamic Sharing Framework of County-Level Distribution Network Based on Knowledge Graph

Abstract: To address the challenges of cross-service data integration in power systems and the inefficiency of dispatching decisions caused by evaluation metrics failing to reflect real-time ...
KESQ News

How to use AI to capture your maintenance team’s knowledge and turn it into action

While maintenance leaders know this is an important and pressing issue, it’s also one that introduces logistical challenges. Moving all of this knowledge out of work orders and the head of a ...