Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Researchers have developed a 6G chip that uses a dual electro-photonic approach to send signals across nine radio-frequency bands. When you purchase through links on our site, we may earn an affiliate ...

Abstract: Graphs play an increasingly important role in various big data applications. However, existing graph data structures cannot simultaneously address the performance bottlenecks caused by the ...

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 ...

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 ...

Have you ever been overwhelmed by messy spreadsheets or struggled to collect data in an organized way? Imagine a scenario where instead of juggling multiple tabs and rows, you could guide users ...

The House of Dior (Dior) is sending data breach notifications to U.S. customers informing them that a May cybersecurity incident compromised their personal information. Dior is a French luxury fashion ...