What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

First of all, thank you for sharing this amazing work and the code implementation! I'm really interested in replicating the results of your paper "Comprehending Knowledge Graphs with Large Language ...

OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model ...

1 Business College, California State University, Long Beach, CA, United States 2 School of Business and Management, Shanghai International Studies University, Shanghai, China In common graph neural ...

The integration of electronic medical records (EMRs) in modern healthcare holds significant promise; however, traditional approaches to syndrome differentiation in Traditional Chinese Medicine (TCM) ...

Organizations adopting schema markup at scale often see a boost in non-branded search queries, signaling broader topic authority and improved discoverability. It has also become a powerful answer to a ...

Abstract: Knowledge graph, as a form of efficient organization of entities and concepts, can organize scattered distributed data and provide support for data analysis and knowledge reasoning for ...

Abstract: With the increasing requirements for the development and utilization of big data, it becomes more and more important to cultivate big data talents to meet the needs of society. The ...