Abstract: We introduce a distributed optimization framework for directed graph networks that addresses composite objective functions with smooth local components and a shared convex regulariser. Our ...

Drawing is something that appeals to people of all ages. It’s a fun and engaging activity that relaxes us and unlocks our creativity. But for many, developing artistic ability feels out of reach.

Trophic coherence and non-normality are both ways of describing the overall directionality of directed graphs or networks. Trophic coherence can be regarded as a measure of how neatly a graph can be ...

Python's Pillow library, for image manipulation, has features above and beyond merely resizing, rotating, cropping, or recoloring images. In this video we'll see how Pillow can be used to add text ...

Directed Acyclic Graphs with a variety of methods for both Nodes and Edges, and multiple exports (NetworkX, Pandas, etc). This project is the foundation for a commercial product, so expect regular ...

We wanted to have some fun with our Python Week II coverage. After watching the YouTube video at the top of this story, we thought it would be fun to get some summer campers to take a crack at drawing ...

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 ...

Abstract: We present an efficient force-directed method for evolving an initial graph layout in order to better visualize it, while at the same time distributing graph vertices so as to make full use ...

ABSTRACT: The feedback vertex set (FVS) problem is to find the set of vertices of minimum cardinality whose removal renders the graph acyclic. The FVS problem has applications in several areas such as ...