Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 ...

Medical applications of mathematical modeling, including machine learning models, knowledge graphs, and health digital twins, primarily involve the prediction of patient outcomes. This expert ...

A TechRadar article noted that nearly 90% of enterprise information (documents, emails, videos) lies dormant in unstructured systems. This "dark data" isn't just neglected; it's a liability. GenAI ...

Abstract: This article proposes a directed knowledge graph inference model based on graph attention mechanism, aiming to solve the accuracy and efficiency problems in the knowledge graph inference ...

Ever Googled yourself and wished for that polished informational box to pop up on the results page? That’s a Google Knowledge Panel. More than just a helpful box on the search engine results page ...

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 ...

According to DeepLearning.AI, it launched a short course titled Agentic Knowledge Graph Construction in collaboration with Neo4j and taught by Andreas Kollegger to show how knowledge graphs complement ...

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 ...