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 ...

Abstract: As a promising strategy to achieve generalizable graph learning tasks, graph invariant learning emphasizes identifying invariant subgraphs for stable predictions on biased unknown ...

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 ...

The base component of the LM Studio SDK is the (synchronous) Client. This should be created once and used to manage the underlying websocket connections to the LM Studio instance. However, a top level ...

Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...

Abstract: This paper presents a novel approach to graph learning, GL-AR, which leverages estimated autoregressive coefficients to recover undirected graph structures from time-series graph signals ...

Social studies teacher Gregg Solkovits remembers his days years ago at Monroe High in the San Fernando Valley as an unlucky campus wanderer, trudging from classroom to classroom, lugging teaching ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

This educational film teaches viewers how to construct mathematical line graphs to solve algebraic problems. It begins by reviewing statistical graphs and then explains the relationship between ...

Learning new software or skill can often feel like a daunting task. Whether you’re trying to master the intricacies of Excel, finesse a video edit in DaVinci Resolve, or create a polished presentation ...