Google’s Open Knowledge Format Could Work For Websites, Too

Markdown has been readable by machines since 2004. OKF adds structure and relationships. Together, they're the foundation ...
Analytics Insight

10 Common Data Visualization Interview Questions with Answers (2026 Guide)

Overview:  Learn the 10 most frequently asked data visualization interview questions along with practical sample answers.Understand what recruiters expect ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Modern Data & Knowledge Platforms: The Foundation Every AI Strategy Actually Runs On: SD Times 100

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...
IEEE

Joint Modeling of Multimodal Information Based on Dynamic and Static Knowledge Graphs for Next POI Recommendation

Abstract: As one of the location-based social network (LBSN) applications, next point-of-interest (POI) recommendation is devoted to predicting a user’s next interested locations based on check-in ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

The resulting knowledge graph provides a robust framework for understanding sepsis, supporting clinical decision-making, and facilitating further research. The success of this approach underscores the ...
IEEE

Learning Resource Recommendation Model Based on Collaborative Knowledge Graph Attention Networks

Abstract: Aiming at the issue that most of the existing knowledge graph-based methods for personalized learning resource recommendations do not take full advantage of collaborative signals from ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...