Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...

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 ...

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 ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

After Meta started building an enormous data center less than 400 yards away from their house, a couple living in Newton County, Georgia, says their water started to dry up. That began in 2018; years ...

This repository contains a refactoring of the code used in the paper "Learning Latent Graph Structures and Their Uncertainty" (ICML 2025). The code is designed to be modular and easy to use, allowing ...

A company’s content lies largely in “unstructured data”—those emails, contracts, forms, Sharepoint files, recordings of meetings and so forth created via work processes. That proprietary content makes ...

The personalized customer experience that came naturally to shopkeepers of the past is generally missing in today’s rapidly changing consumer landscape. Now, delivering that same level of connection ...

Health secretary Robert F. Kennedy Jr. is expected to testify about how government cuts made to HHS staffing and the creation of a new agency will reshape the country’s health services. NBC News’ ...